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Azure Arc Engineer Jobs

21 jobs found

8d ago

Senior Cloud Data Engineer

Rosen's Diversified, Inc. Green Bay, WI

Green Bay, WI

8d ago

Full time Analytics Artificial Intelligence Automation Developer

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Job Description

Rosen’s Diversified, Inc. is seeking a Senior Cloud Data Engineer to design and optimize cloud-based data solutions that support manufacturing operations, business intelligence, advanced analytics, and digital transformation. This onsite role in Green Bay, WI focuses on building secure, reliable lakehouse architectures and data pipelines that enable data-driven decisions across the organization.

You will work with Azure Databricks and related Azure services to develop scalable ETL/ELT solutions, establish reusable engineering standards, and ensure production readiness through monitoring, troubleshooting, and governed access controls.

What you’ll do

Design, develop, and maintain scalable ETL/ELT pipelines using Azure Databricks, PySpark, Python, and SQL.
Build and optimize ingestion frameworks for ERP, MES, Industrial IoT, quality, supply chain, inventory, finance, and other operational systems.
Create reusable engineering patterns and standards to improve delivery speed, supportability, and reliability.
Implement lakehouse solutions using Delta Lake and Medallion Architecture across Bronze, Silver, and Gold layers.
Design and optimize data models for reporting, analytics, AI, and machine learning use cases.
Maintain data lineage, metadata, technical documentation, and operational runbooks.
Integrate Azure Databricks with Azure Data Factory, Azure Data Lake Storage Gen2, Azure Key Vault, Microsoft Fabric, Power BI, and Azure DevOps.
Support orchestration and data movement between enterprise applications and cloud platforms.
Monitor and optimize Databricks clusters, jobs, notebooks, and workflows for performance, scalability, and cost efficiency.
Troubleshoot production issues, identify root causes, and implement sustainable corrective actions.
Contribute to monitoring, alerting, testing, and operational support practices.
Apply organizational standards for data quality, governance, privacy, security, and compliance.
Implement role-based access controls and governed data access using Unity Catalog and Azure security services.
Build automated validation, auditing, and data quality controls into engineering workflows.
Partner with business users, analysts, architects, and IT teams to translate requirements into maintainable technical solutions.
Participate in Agile ceremonies, sprint planning, code reviews, and technical design reviews.
Mentor junior engineers and promote best practices for coding, testing, documentation, and deployment.

Minimum qualifications

Bachelor’s degree in computer science, information systems, data engineering, or a related field; an equivalent combination of education and experience may be considered.
3–5 years of experience in data engineering, cloud engineering, or analytics platform development.
Minimum 2 years of hands-on experience developing solutions with Azure Databricks.
Experience supporting enterprise data solutions in a manufacturing or industrial environment.
Strong knowledge of Azure Databricks, Apache Spark, PySpark, Python, SQL, Delta Lake, lakehouse architecture, data modeling, and data warehousing concepts.
Experience with Azure Data Lake Storage Gen2, Azure Data Factory, Azure DevOps, Git source control, and CI/CD practices for data platforms.
Experience with data quality, security, monitoring, troubleshooting, and performance tuning.
Knowledge of manufacturing data domains such as ERP, MES, production planning, inventory, supply chain, quality management, maintenance, or Industrial IoT.
Ability to work with operational stakeholders and translate manufacturing processes into reliable data requirements and solutions.

Technologies you’ll work with

Azure Databricks, PySpark, Python, SQL
Delta Lake, Medallion Architecture
Azure Data Factory, Azure Data Lake Storage Gen2, Azure Key Vault
Microsoft Fabric, Power BI, Azure DevOps
Unity Catalog, Terraform, Bicep, ARM templates
Git, CI/CD

Additional qualifications and preferences

Experience with Microsoft Fabric, Power BI, or real-time and streaming data workloads.
Hands-on experience with Unity Catalog and governed lakehouse implementations.
Exposure to machine learning or AI data preparation and deployment patterns.
Experience with Infrastructure as Code using Terraform, Bicep, or ARM templates.
Preferred knowledge of Infor M3, including application design, business data model, and core table structures across manufacturing and related functions.
Preferred understanding of production, planning, inventory, quality, maintenance, and supply chain processes.
Microsoft Certified: Azure Data Engineer Associate.
Databricks Certified Data Engineer Associate or Professional.
Microsoft Certified: Fabric Analytics Engineer Associate.

Rosen’s Diversified benefits

Excellent health and welfare benefits including medical, dental, vision, disability, and voluntary benefit options.
401(k) with annual company match for eligible employees.
Professional and personal development programs, including Career and Learning Paths for advancement.

Company context

Rosen’s Diversified, Inc. is a family-owned business established in 1946 with nearly 5,000 employees. The company has grown into a holding company of vertically integrated business units, supported by a casual, down-to-earth family culture led by innovative entrepreneurs.

As a privately held, family-owned organization across three generations, the company operates with a mentality focused on what should be done rather than shareholder requirements.

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8d ago

AI Engineer - Azure

Cognizant Washington, DC

Washington, DC

8d ago

$110k - $135k/yr Full time Backend Developer Agentic Ai Ai Agent

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Job Description

Build and operate production-grade generative AI systems on Microsoft Azure, with ownership across RAG, agentic workflows, evaluation, and monitored deployments. This onsite role in Washington, DC offers a competitive salary range of $110,000–$135,000, plus eligibility for Cognizant’s discretionary annual incentive program.

You will design end-to-end AI solutions that prioritize quality, reliability, and responsible AI, using modern orchestration and observability tooling, and deploying services through CI/CD with containerization.

Responsibilities

Design and implement end-to-end RAG pipelines, including data ingestion, embedding generation, vector database management, and retrieval optimization.
Develop and maintain APIs to orchestrate RAG workflows, covering retrieval, prompt handling, and model interaction.
Build orchestration and multi-step reasoning workflows using Semantic Kernel, LangChain, or LangGraph, incorporating tool use and memory.
Integrate LLMs such as Azure OpenAI and tune prompts to balance accuracy, performance, and cost.
Implement observability, monitoring, and evaluation using LangSmith and Azure monitoring tools to track output quality, latency, and hallucination rates.
Troubleshoot and improve retrieval quality, grounding accuracy, and response relevance.
Deploy and manage AI services on Azure using CI/CD pipelines and containerization.
Build and maintain scalable web applications using Python, Node.js, and React.
Apply responsible AI practices using guardrails, security controls, and compliance standards.

Requirements

Hands-on Python experience for backend services and automation.
Hands-on experience with LangChain and/or LangGraph.
Experience with RAG, embeddings, and vector search.
Hands-on experience with Azure OpenAI and Azure AI Search.
Proficiency with REST APIs, JSON, and Git.

Benefits

Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan

Nice to Have

JavaScript experience (React, Node.js)
Docker and container-based deployments
Experience with Azure services such as Azure Container Apps or AKS, Azure Functions, Azure Monitor/Application Insights, and Key Vault

Salary and Other Compensation

The annual salary for this position is $110,000–$135,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

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9d ago

Senior AI Engineer

NewVision Softcom & Consultancy San Francisco, CA

San Francisco, CA

9d ago

Full time Backend Developer Senior Artificial Intelligence

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Job Description

Build AI-powered compliance capabilities on Azure as an individual contributor with NewVision Softcom & Consultancy. This onsite role in San Francisco, CA focuses on hands-on development of an AI-driven compliance platform supporting investment and tax-related workflows. You will design and deliver solutions that ingest, classify, extract, standardize, and process client data across the Microsoft Azure ecosystem using Python and Azure AI services.

Responsibilities

Design, develop, and implement AI-powered compliance solutions using Python and Azure services.
Build data ingestion and transformation pipelines to process client information end to end.
Create workflows to classify, extract, standardize, and enrich data using Azure AI services.
Implement and maintain Azure Functions for event-driven, serverless processing.
Integrate AI services and business workflows with downstream compliance systems.
Map client data into standardized internal schemas and data models.
Develop REST APIs, microservices, and workflow orchestrations to support complete processing.
Maintain high code quality through testing, debugging, optimization, and code reviews.
Collaborate with architects, AI engineers, and business stakeholders to align technical delivery with compliance needs.
Support integration of processed outputs into tax data warehouses and compliance platforms.

Requirements

5+ years of hands-on Python development experience.
Strong experience building scalable backend applications, APIs, and services with Python.
Experience with Azure OpenAI, Azure AI Foundry, and Azure AI Services / Cognitive Services.
Strong knowledge of the Microsoft Azure cloud platform.
Hands-on experience with Azure Functions.
Experience designing and implementing AI-enabled workflows and automation solutions.
Understanding of data processing, transformation, and integration patterns.
Experience consuming and integrating REST APIs and cloud services.
Ability to independently design, develop, test, and deliver production-ready solutions.

Technologies

Python
Azure AI Services
Azure OpenAI
Azure AI Foundry
Azure AI Services / Cognitive Services
Azure Functions
Microsoft Azure
REST APIs
Microservices

Good to Have

Experience with AI/LLM-based application development and orchestration.
Experience in document processing, information extraction, and classification.
Knowledge of workflow orchestration frameworks and event-driven architectures.
Experience with Azure DevOps, CI/CD pipelines, and automated deployments.
Understanding of data warehousing concepts and structured data models.
Experience working on compliance, regulatory, governance, or audit-related solutions.
Familiarity with monitoring, logging, and observability in Azure.

Nice to Have

Experience in Financial Services, Tax, Compliance, or Regulatory domains.
Knowledge of Generative AI application development and prompt engineering.
Exposure to Responsible AI and AI Governance frameworks.
Experience integrating multiple AI models/services in a single business workflow.
Familiarity with investment management or tax filing workflows.
Exposure to serverless and cloud-native architecture best practices.

Behavioral Requirements

Strong ownership mindset with the ability to drive deliverables independently.
Hands-on developer who enjoys coding and solving technical problems.
Excellent analytical and troubleshooting skills.
Ability to work effectively in a remote and distributed team environment.
Strong verbal and written communication skills.
Collaborative approach across technical and business teams.
Adaptability to evolving requirements and emerging AI technologies.
Prioritizes quality, maintainability, and scalability.
Results-oriented with a focus on delivering business value.
Self-motivated learner who stays current with Azure AI and Generative AI advancements.

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12d ago

Senior AI Software Engineer

City National Bank of Florida Coral Gables, FL

Coral Gables, FL

12d ago

Full time Backend Developer APIs Artificial Intelligence

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Job Description

City National Bank of Florida is seeking a hands-on Senior AI Software Engineer to architect, develop, and deploy secure, scalable, production-grade AI applications and agentic workflows. This role is focused on Python-based backend services, LangGraph and LangChain orchestration, and enterprise RAG implementations on Azure with an emphasis on production operations.

Responsibilities

Design and implement production-grade AI applications and backend services using Python, FastAPI, and modern engineering practices.
Lead technical implementation of stateful, multi-step agentic workflows using LangGraph and LangChain v1.
Implement graph state management and workflow controls including conditional routing, checkpointing, retries, recovery, idempotency, and controlled execution.
Build enterprise RAG architectures covering ingestion, chunking, embeddings, Azure AI Search, hybrid retrieval, reranking, metadata filtering, and source-grounded generation.
Integrate Azure OpenAI, enterprise APIs, document repositories, databases, and internal systems using secure API contracts.
Design and implement MCP servers and tools, including authentication, authorization, input validation, and appropriate access controls.
Create reusable application components, API interfaces, shared libraries, and common AI engineering patterns.
Implement human-in-the-loop approval gates, workflow state persistence, audit trails, and safeguards to prevent unauthorized downstream actions.
Establish automated quality gates for unit testing, integration testing, retrieval evaluation, agent behavior, security, and regression testing.
Engineer for reliability, scalability, latency, cost, observability, and maintainability.
Implement secure cloud application patterns using Azure identity, managed identities, Key Vault, network controls, and secrets management.
Containerize and deploy services via CI/CD pipelines to Azure Container Apps (ACA), using Azure Kubernetes Service (AKS) where workload requirements justify it.
Integrate Azure Monitor and application telemetry for logs, metrics, tracing, incident investigation, and operational support.
Review code, guide implementation decisions, troubleshoot complex production issues, and mentor other engineers while remaining an active developer.
Partner with AI leadership, application teams, architecture, cybersecurity, model risk, legal, and business stakeholders to deliver governed banking AI solutions.

Requirements

Approximately 8 years of professional software engineering experience, including substantial hands-on Python development.
Strong understanding of software architecture, design patterns, SOLID principles, concurrency, asynchronous programming, API design, and distributed systems.
Experience with FastAPI (or equivalent), Pydantic, SQL, Git, pytest, and automated code-quality practices.
Demonstrated ability to design, implement, test, deploy, and troubleshoot production services.
Hands-on experience delivering LLM-powered applications beyond proof-of-concept.
Practical knowledge of LangGraph and LangChain (direct LangGraph experience strongly preferred).
Experience with stateful workflows, tool calling, conditional execution, structured outputs, retries, failure recovery, and human approval patterns.
Strong knowledge of end-to-end RAG, embeddings, vector and hybrid search, reranking, grounding, and retrieval evaluation.
Experience designing repeatable LLM evaluation and regression-testing strategies.
Ability to diagnose hallucinations, retrieval failures, prompt-injection risks, tool misuse, and inconsistent agent behavior.
Hands-on experience with Azure OpenAI and preferably Azure AI Search.
Experience with Azure identity and security services, including managed identities and Key Vault.
Experience with Docker, CI/CD, cloud deployments, automated testing, monitoring, and production troubleshooting.
Experience building secure APIs and integrating enterprise systems.
Strong understanding of authentication, authorization, least privilege, data protection, and auditability.

Technologies

Python, FastAPI, LangGraph, LangChain v1, Azure OpenAI, Azure AI Search, MCP
Pydantic, SQL, Git, pytest, Docker, CI/CD
Azure Container Apps (ACA), Azure Kubernetes Service (AKS)
Azure Monitor, Azure identity, managed identities, Key Vault, Azure Database for PostgreSQL, PostgreSQL
OpenTelemetry

Preferred Qualifications

Production experience implementing MCP servers and secure enterprise tools.
Experience with Azure Container Apps and Azure Kubernetes Service.
Experience with PostgreSQL or Azure Database for PostgreSQL, persistent workflow state, and object storage.
Experience with enterprise document processing and financial data extraction.
Experience with OpenTelemetry, distributed tracing, AI observability, latency optimization, and token-cost management.
Banking or other regulated-industry experience, especially credit, lending, fraud, or risk workflows.
Experience with model governance, explainability, human oversight, and responsible AI practices.

Location

Onsite in Coral Gables, FL 33134

Interview Guidelines

Applicants are not permitted to use AI-enabled devices during interviews, including AI glasses or similar wearable technology that can record, transmit, or generate real-time information.

Equal Opportunity

City National Bank of Florida is an Equal Opportunity Employer and does not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, protected veteran status, or any status protected by federal, state, and Florida law. We comply with the ADA and applicable Florida laws.

Accommodation Requests

Applicants who require a reasonable accommodation to participate in the interview process should contact talent.attraction@citynational.com in advance of the interview to submit an accommodation request.

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18d ago

AI Engineer / Search Engineer

Certified Technical Experts, Inc. Peachtree Corners, GA

Peachtree Corners, GA

18d ago

$96k - $100k/yr Full time Backend Developer Ai Engineer Ai/ml Data Engineering

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Job Description

Certified Technical Experts, Inc. is hiring an AI Engineer / Search Engineer to design, implement, tune, test, and support AI and enterprise search capabilities for FLRA’s Intelligent Document Processing and AI-Enabled Search initiative within an approved Microsoft 365 GCC/Azure environment.

Responsibilities

Design and implement AI-enabled search for FLRA bargaining unit records
Configure and optimize Azure AI Search indexes, including fields, filters, analyzers, semantic configurations, and vector search
Build keyword, Boolean, full-text, metadata, semantic, and vector-based search functionality
Develop and support natural-language question answering and source-grounded responses using Azure OpenAI or other approved AI services
Implement Retrieval-Augmented Generation (RAG) using FLRA documents, extracted metadata, and search indexes
Generate, store, and manage embeddings for semantic and vector retrieval
Ensure AI-generated answers cite or reference the originating Government documents
Support document classification, metadata extraction, and confidence scoring using Azure AI Document Intelligence and related AI capabilities
Create logic to identify and maintain relationships among bargaining unit records, including amendments, consolidations, reorganizations, revocations, successorship determinations, and related cases
Develop and tune relevance ranking strategies to improve search accuracy and usability
Configure metadata filters and structured retrieval using FLRA-required fields such as agency, bargaining unit, labor organization, case number, docket number, certification type, dates, region, and location
Support human-in-the-loop validation workflows for reviewing AI-generated classifications and metadata
Develop evaluation methods for search quality, retrieval relevance, classification accuracy, metadata extraction, and AI response quality
Tune prompts, retrieval strategies, chunking approaches, embeddings, and search configurations based on testing and Government feedback
Implement guardrails to keep AI responses grounded in authorized FLRA content and prevent unsupported information
Support automated ingestion and indexing of newly received documents
Work with the Azure Platform & Integration Engineer to integrate AI/search services with SharePoint, APIs, Azure services, and application components
Participate in system integration testing, UAT, defect resolution, production deployment, monitoring, and performance tuning
Maintain technical documentation covering AI models, prompts, search configurations, index schemas, evaluation methods, and operational procedures
Follow Federal security requirements, including CUI protection, FedRAMP-authorized services, least-privilege access, and NIST SP 800-53 controls

Requirements

Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, or related field, or equivalent professional experience
5+ years of software, search, AI, machine learning, or data engineering experience
3+ years of hands-on experience with enterprise search, AI/ML, or cloud-based AI solutions
Strong hands-on experience with Azure AI Search or comparable enterprise search technology
Experience with semantic search, vector search, embeddings, similarity search, and relevance ranking
Experience implementing RAG solutions
Experience with Azure OpenAI, OpenAI APIs, or comparable large-language-model platforms
Experience developing source-grounded question-answering solutions
Strong experience with Python, C#/.NET, or similar programming languages
Experience with Azure AI Document Intelligence or comparable OCR/document-processing technology
Experience with document classification and structured metadata extraction
Experience working with unstructured content such as PDFs, scanned documents, and OCR-generated text
Experience designing search index schemas, metadata models, filters, and query strategies
Experience with text chunking, embedding generation, vector indexing, and retrieval strategies
Experience with prompt engineering and LLM integration
Experience evaluating and tuning search relevance and AI-generated responses
Understanding of hallucination mitigation, grounding, citations, confidence scoring, and responsible AI practices
Experience integrating AI/search services with REST APIs, Azure services, or enterprise applications
Familiarity with Microsoft SharePoint, Microsoft Graph API, and Microsoft 365 environments
Experience with Git-based source control, CI/CD, testing, and deployment practices
Understanding of secure cloud development, identity management, and least-privilege access
Strong analytical, troubleshooting, communication, and technical documentation skills
Ability to work closely with team and Government stakeholders
Ability to successfully complete required FLRA personnel security vetting

Technologies

Azure AI Search
Azure OpenAI
Azure AI Document Intelligence
Embeddings
Retrieval-Augmented Generation (RAG)
Natural-language question answering
Vector search
Semantic search
Python
C#/.NET
OpenAI APIs
Microsoft SharePoint
Microsoft Graph API
Microsoft 365
REST APIs
Git-based source control
CI/CD
FedRAMP
NIST SP 800-53

Preferred Certifications

Microsoft Certified: Azure AI Engineer Associate
Microsoft Certified: Azure Data Scientist Associate
Microsoft Certified: Azure Developer Associate
Microsoft Certified: Azure Solutions Architect Expert
Microsoft Certified: Azure Data Engineer Associate
Microsoft Applied Skills related to Azure AI Search, Azure OpenAI, or generative AI
CompTIA Security+ or equivalent security certification

Location and Compensation

Onsite: Peachtree Corners, GA
Salary: USD 96,100 - 100,000 per year

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23d ago

AI Engineer

ProcyonIT Charlotte, NC

Charlotte, NC

23d ago

$60 - $75/hr Contract Agentic Ai Ai Agent Ai Agent Platform

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Job Description

Work onsite in Charlotte, NC as a contract AI Engineer for ProcyonIT. This role focuses on building practical AI agents and copilots that connect to enterprise data and systems, with clear engineering ownership across RAG, knowledge graphs, and evaluation. If you enjoy turning AI prototypes into reliable solutions, you will have the chance to work hands-on across Microsoft Copilot Studio, LLM tooling, and integration with APIs.

Pay: $60.00 - $75.00 per hour (Contract W2).
Schedule: 3 days onsite.
Location: In person, Charlotte, NC.

Responsibilities

Design and build AI agents and copilots using Microsoft Copilot Studio.
Develop RAG pipelines including ingestion, embedding, indexing, retrieval, and generation.
Build and query knowledge graphs to improve answer accuracy.
Integrate AI solutions with enterprise systems and APIs.
Evaluate and optimize output quality, latency, and cost.

Requirements

10+ years total IT experience, including 4+ years delivering AI/GenAI solutions.
Hands-on experience with Microsoft Copilot Studio.
Strong RAG experience and vector databases such as Azure AI Search, Pinecone, or FAISS.
Experience with knowledge graphs (for example Neo4j or Cosmos DB Gremlin).
Experience using LLM frameworks such as Azure OpenAI, LangChain, or Semantic Kernel.
Proficiency in Python and REST APIs.
Cloud experience, preferably Azure.

Helpful Background (Preferred)

Experience with Power Platform, including Power Automate and Dataverse.
Microsoft AI certifications.

Key Tools and Technologies

Microsoft Copilot Studio, RAG, vector databases, Azure AI Search, Pinecone, FAISS, knowledge graphs, Neo4j, Cosmos DB Gremlin, LLM frameworks (Azure OpenAI, LangChain, Semantic Kernel), Python, REST APIs, Azure, Power Platform (Power Automate, Dataverse), Microsoft AI certifications.

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24d ago

Senior AI Engineer

Johnson Service Group Inc. Boston, MA

Boston, MA

24d ago

$55 - $70/hr Contract Agentic Ai Ai Agent Ai Agent Platform

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Job Description

Johnson Service Group Inc. is seeking a Senior AI Engineer to design and scale enterprise AI capabilities, including agentic systems and retrieval augmented generation (RAG) solutions. This contract role is based in Boston, MA with a hybrid schedule (3 days per week) and focuses on building within the Microsoft Azure ecosystem.

Key Responsibilities

Build and scale Azure AI Foundry capabilities, including models, prompts, tools, orchestration, observability, and governance.
Develop agentic systems using LangChain and LangGraph, applying guardrails, retries, and policy-driven execution.
Deliver enterprise RAG solutions using Azure AI Search and Azure AI Embeddings.
Design automated ingestion pipelines and integrate enterprise knowledge sources.
Enable AI experiences across Azure Bot Service, Microsoft Teams, and Microsoft 365 Copilot.
Implement security and governance controls, including Responsible AI, PII filtering, prompt governance, RBAC, and Key Vault controls.
Drive CI/CD and DevOps practices for AI agents, prompts, skillsets, and indexes.
Lead and mentor engineers, collaborating with architecture, security, and compliance teams.

Required Qualifications

Strong Python development experience, including Poetry.
Experience with Azure OpenAI, Azure AI Services, and Azure AI Foundry.
Strong Azure AI Search experience, including hybrid, semantic, vector search, skillsets, and indexers.
Experience building agentic AI solutions using LangChain and LangGraph, including agent orchestration.
Enterprise RAG development experience and AI platform governance experience.
Experience with Azure Bot Service, Microsoft Teams, and Microsoft 365 Copilot.
Azure experience with Blob Storage, Logic Apps, Azure Functions, and Azure DevOps.

Additional Skills (Nice to Have)

ServiceNow Integration Hub experience.
Agent observability, evaluation, and trace tooling experience.
Experience operating AI systems at enterprise scale.

Technology Stack

Python, Poetry
Azure OpenAI, Azure AI Services, Azure AI Foundry
Azure AI Search, Azure AI Embeddings
LangChain, LangGraph
Azure Bot Service, Microsoft Teams, Microsoft 365 Copilot
Azure Blob Storage, Logic Apps, Azure Functions
Azure DevOps, Azure DevOps Wiki
Key Vault, SharePoint

Location, Schedule, and Contract Rate

Location: Boston, MA (hybrid)

Schedule: 3 days per week (hybrid)

System One Pittsburgh, PA

Pittsburgh, PA

3mo ago Closed

Contract Senior Ai Ml Artificial Intelligence

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