Azure Ai Services

Azure Ai Services Engineer Jobs

3 jobs found

1d ago

Staff AI Engineer

Nova Biomedical Waltham, MA

Waltham, MA

1d ago

$230k - $280k/yr Full time Agentic Ai Orchestration Ai Agent Platform Ai Engineer

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Job Description

Staff AI Engineer will act as a senior hands-on technical leader inside Nova Biomedical’s Data & AI function, helping turn enterprise AI use cases into secure, maintainable production capabilities.

Responsibilities

Lead design, build, deployment, and support for AI agents, copilots, RAG applications, tool-calling workflows, and AI-enabled workflow automations.
Define and implement reusable AI engineering patterns across prompt design, retrieval strategies, embeddings, vector stores, orchestration, API integration, evaluation, guardrails, logging, monitoring, and incident response.
Build and evolve shared AI platform components including agent orchestration services, model gateway patterns, retrieval services, prompt and policy management, evaluation frameworks, secrets handling, deployment templates, and reusable integration libraries.
Design platform controls for model access, environment separation, telemetry, cost management, usage tracking, audit logging, and responsible AI guardrails for safe reuse across teams.
Partner with enterprise architecture, security, data engineering, analytics, IT operations, quality, and business stakeholders to ensure solutions meet enterprise requirements before scale.
Convert prototypes into production-ready services with documented architecture, deployment steps, ownership model, monitoring approach, and support procedures.
Establish practical evaluation harnesses to test factuality, retrieval quality, safety behaviors, workflow completion, and regression risk across releases.
Contribute to Nova’s AI control plane and agent ecosystem by building repeatable integration patterns with enterprise systems, data platforms, business applications, and automation tools.
Provide technical leadership to internal engineers and implementation partners via code review, design review, reusable templates, and implementation playbooks.
Balance speed and governance by delivering business-valuable solutions while preserving security, privacy, auditability, and maintainability.

Requirements

10+ years hands-on experience building AI, machine learning, automation, data, or modern software applications in enterprise environments.
Strong proficiency with Python or similar languages, plus APIs, cloud services, application integration, CI/CD concepts, and version control.
Deep familiarity with LLMs, RAG patterns, embeddings, vector databases/vector stores, prompt engineering, agentic workflows, workflow orchestration, and model or application evaluation.
Experience designing or operating AI platform capabilities such as model gateways, agent platforms, shared retrieval services, prompt registries, evaluation pipelines, observability stacks, or reusable deployment frameworks.
Ability to make architecture decisions across build versus buy, prototype versus production, and centralized platform versus use-case-specific implementation.
Experience documenting technical decisions, tradeoffs, runbooks, operating procedures, and support models for long-term maintainability.
Strong collaboration and communication skills across business, technical, security, data, and quality stakeholders.
Ability to mentor contributors while staying hands-on with code, integration, testing, and troubleshooting.

Technologies

Python
LLMs
RAG
Embeddings
Vector databases, vector stores
Agent orchestration services
Model gateways
API integration
CI/CD
Cloud services
Azure OpenAI
Microsoft Azure
Power Platform
Microsoft Fabric
Databricks
AWS AI services
Microsoft 365
Salesforce
SAP
ServiceNow
MLOps, LLMOps
Infrastructure-as-code
Containerized services
Identity integration
Secrets management
Data governance
Identity and access management
Privacy
Responsible AI

Benefits

Employment terms, work location, schedule, compensation, and benefits will align with Nova’s standard HR practices for the final approved position and posting location.

Preferred Experience

Experience with Microsoft Azure, Azure OpenAI, Power Platform, Microsoft Fabric, Databricks, AWS AI services, or modern agent frameworks.
Experience applying AI in regulated, GxP, medical device, diagnostics, healthcare, manufacturing, or other data-sensitive business environments.
Experience with evaluation harnesses, prompt security, model monitoring, agent observability, prompt or policy versioning, and audit-ready AI delivery practices.
Experience with MLOps, LLMOps, platform engineering, infrastructure-as-code, containerized services, service deployment, identity integration, secrets management, and production observability.
Experience integrating AI applications with enterprise systems such as Microsoft 365, Salesforce, SAP, ServiceNow, document repositories, data warehouses, APIs, or workflow automation platforms.
Familiarity with data governance, information security, identity and access management, privacy, retention, and responsible AI practices.

What Success Looks Like

Priority AI use cases are delivered as working, documented applications or agents adopted by target users.
AI solutions are secure, maintainable, monitored, evaluated, and ready for internal ownership after launch.
Reusable code, templates, reference architectures, and implementation playbooks accelerate future AI delivery.
The AI platform provides reusable services, standards, and controls that reduce one-off development and enable secure AI delivery faster for future use cases.
Internal engineers and implementation partners follow consistent engineering patterns for AI development, deployment, evaluation, and support.
Business stakeholders experience Data & AI as a strategic partner delivering outcomes, not only as a platform provider.

Location: Waltham, MA (hybrid) | Compensation: USD 230,000 - 280,000 per year | Experience: 10+ years

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1d ago

AVP-Cybersecurity Engineer (AI Security)

Moody's Golden, CO

Golden, CO

1d ago

$140k - $231k/yr Full time Backend Developer Agent Agentic Ai

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Job Description

This role leads the development and execution of an enterprise AI security strategy for Moody’s, with direct responsibility for governance, architecture, and secure enablement of AI across cloud environments.

Role Overview

You will own a multi-year AI security strategy and roadmap focused on safely leveraging Azure AI services, including Azure OpenAI and Azure Machine Learning. The position also includes establishing AI security policies and control frameworks aligned to recognized best practices and regulatory requirements, including the NIST AI Risk Management Framework.

Key Responsibilities

Develop and own the multi-year AI security strategy and roadmap for securely leveraging Azure AI services, including Azure OpenAI and Azure Machine Learning
Define and enforce enterprise AI security policies and control frameworks aligned with best practices and regulatory mandates, including NIST AI Risk Management Framework
Architect secure AI/ML environments in Azure, AWS, or GCP, including data segmentation, network controls, and identity and access management, using tools such as Azure Policy and Key Vault
Establish security frameworks for Agentic AI systems and ensure secure deployment of Model Context Protocol servers
Support risk reporting to the Chief Information Security Officer, executive leadership, and the Board on AI security posture and compliance with emerging regulations
Collaborate with engineering, legal, and compliance teams to embed security early and support secure adoption of AI technologies
Drive innovation by challenging existing processes, proposing solutions, and contributing to secure business enablement

Required Qualifications

5–7 years of experience in cybersecurity engineering, with a focus on AI and cloud security
Deep understanding of Azure or AWS cloud architecture and AI security principles
Expertise designing and implementing security controls for AI/ML systems and Azure or AWS environments, with a demonstrated ability to reduce vulnerabilities through proactive control implementation
Strong analytical and problem-solving skills, including resolving complex security incidents within SLA and leading cross-functional risk assessments
Ability to mentor teams across the organization in AI security best practices
Relevant certifications in Azure Security and AI Security strongly desired
Deep expertise in artificial intelligence, with a record of implementing advanced AI solutions that drive strategic transformation and operational efficiency
Strong experience using AI tools to lead innovation initiatives
Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption

Technology Stack

Azure, AWS, GCP
Azure OpenAI, Azure Machine Learning
Azure Policy, Key Vault
Model Context Protocol
Agentic AI systems
NIST AI Risk Management Framework

Compensation and Location

Location: Golden, CO (onsite)
Salary: USD 140,200 - 230,900 per year

Education

Bachelor’s degree in Computer Science, Information Security, or a related field.

Benefits

Competitive benefits package including medical, dental, vision, parental leave, and paid time off
401(k) plan with employee and company contribution opportunities
Life, disability, and accident insurance
Discounted employee stock purchase plan
Tuition reimbursement
Incentive compensation

About the Team

Moody’s Cybersecurity Engineering team safeguards Moody’s AI and cloud ecosystems by implementing security strategies and frameworks. Joining the team supports secure AI adoption across the enterprise by leveraging Microsoft Azure capabilities while maintaining compliance and ethical governance. This role is designed for a leader focused on AI security innovation and secure transformation.

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22d ago

AI Engineer

Pointer Infotech L.L.C Columbus, OH

Columbus, OH

22d ago

$65 - $70/hr Full time Backend Developer Agentic Ai Agentic Ai Orchestration

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Job Description

Pointer Infotech L.L.C is seeking an experienced AI Engineer / Senior AI Architect to design, implement, and optimize agentic and conversational AI solutions for real-world business use. This onsite role in Columbus, OH focuses on building across both Microsoft and Google ecosystems, with a strong emphasis on Azure AI services and Google Dialogflow CX/CCAI capabilities.

The position covers end-to-end delivery, from developing AI conversational experiences and integrating APIs and web services, to training and operationalizing AI models. You will also support governance and responsible AI practices while collaborating with business subject matter experts and cross-functional technical teams.

What you’ll do

Develop agentic AI solutions, conversational agents, and virtual assistants.
Use hands-on Microsoft Foundry and Azure AI services to build and optimize AI capabilities.
Work with Azure AI Search, Azure AI Language, Power Platform, and Copilot Studio.
Develop AI conversational solutions using Google Dialogflow CX, Google Conversational Agents, and Google CCAI Services.
Build and integrate APIs and web services with AI applications.
Apply expertise in NLP, Generative AI, LLMs, and AI/ML.
Develop and maintain SharePoint Online solutions using Microsoft Power Platform.
Train, deploy, monitor, and optimize AI models over time.
Create Looker dashboards to monitor AI agent performance.
Ensure AI solutions follow security, privacy, governance, and responsible AI practices.
Collaborate with business SMEs and cross-functional technical teams to drive delivery.
Lead AI Proof of Concept (POC) initiatives and present AI solutions to stakeholders.

Required skills and qualifications

Strong expertise in Agentic AI, Conversational AI, and AI solution development.
Hands-on experience building AI solutions across Microsoft and Google ecosystems.
Mandatory: Agentic AI development using Microsoft Foundry.
Mandatory: SharePoint Online + Microsoft Power Platform.
Mandatory: Google Conversational Agents / Dialogflow CX / Google CCAI Services.
Strong programming skills in C#, .NET, JavaScript, or Python.
Bachelor’s degree in Computer Science, Information Systems, or related field, or equivalent experience.
No Visa sponsorship is available this time.

Tools and technologies

Microsoft Foundry
Azure AI services: Azure AI Search, Azure AI Language
Power Platform, Copilot Studio
Google Dialogflow CX, Google Conversational Agents, Google CCAI Services
NLP, Generative AI, LLMs, AI/ML
SharePoint Online
Looker
C#, .NET, JavaScript, Python

Location: Columbus, OH (onsite)
Compensation: USD 65 - 70 per hourly
Experience: 5+ years
Education: Bachelor’s degree in Computer Science, Information Systems, or related field, or equivalent experience

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Azure Ai Services Engineer Jobs

Staff AI Engineer

AVP-Cybersecurity Engineer (AI Security)

AI Engineer

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