United States

Engineer Jobs in United States

5,778 jobs found

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8d ago

Data Engineer - Financial Industry

Code Willing, LLC New Orleans, LA

New Orleans, LA

8d ago

$70k - $80k/yr Full time Python Apache Airflow Big Data

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Job Description

Code Willing, LLC is hiring a Junior or Mid-Level Data Engineer to support the financial sector. The role focuses on building and optimizing big data ETL pipelines and maintaining data quality for financial industry datasets, with a hybrid work arrangement in New Orleans, LA.

Role Summary

As a Data Engineer for financial industry data, you will design, implement, and improve ETL workflows at scale. You will also enhance data quality standards and provide reliable data support to stakeholders through clear, timely project updates.

Key Responsibilities

Design, implement, and refactor efficient big data ETL pipelines using Apache Airflow.
Optimize and expand an existing Python-based data analysis code base.
Develop high-performance data ETL and analysis applications using multiprocessing and multithreading.
Develop and enhance the Data Quality code base and standards for Financial Industry datasets.
Provide data support to stakeholders, ensuring transparent communication and timely project updates.
Stay current with emerging data engineering trends and technologies and contribute to continuous improvement of data practices.

Required Qualifications

Bachelor’s degree in Computer Science, Mathematics, or a related field, or equivalent work experience in lieu of specific educational requirements.
At least 2+ years hands-on experience with Python and 2+ years with SQL in a professional setting.
Experience with Git and Linux.
Experience processing and managing large datasets.
Knowledge of financial industry data, especially security reference data, end-of-day pricing, and trade/quote data, primarily for Equities, Futures, and Fixed Income.
Strong analytical skills with the ability to collaborate across departments and teams.
Excellent problem-solving ability and attention to detail, particularly for performance tuning and optimizing data workflows.

Technologies

Apache Airflow
Python
SQL
Git
Linux
multiprocessing
multithreading
Claude Code

Preferred Qualifications

Certifications in AWS, Data Analytics, or similar technologies are a plus.
Experience with Claude Code and Agent is a plus.
Working knowledge or experience working with Claude Code or equivalent tools is highly desirable.

Benefits

401(k)
401(k) matching
Dental insurance
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Vision insurance

Job Details

Job type: Full-time
Location: Hybrid remote, New Orleans, LA 70130
Salary: USD 70,000 - 80,000 per year

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8d ago

AI Engineer

GEI Consultants New York, NY

New York, NY

8d ago

$110k - $150k/yr Full time Ai Engineer Artificial Intelligence Azure Ai

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Job Description

This role focuses on engineering production-ready AI capabilities that plug into secure, scalable business workflows.

Responsibilities

Build and deploy AI solutions using pretrained models and Copilot technologies
Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure Functions
Integrate AI capabilities into business workflows and applications
Securely connect and integrate enterprise data sources including APIs, Graph connectors, retrieval-augmented generation (RAG), and event-driven patterns
Maintain and optimize Power BI dashboards that support AI-enabled workflows and insights
Instrument AI solutions for telemetry, reliability, performance monitoring, and cost control
Provide technical support and troubleshooting for deployed AI solutions
Identify implementation risks and support mitigation strategies with architecture and platform teams

Requirements

4+ years of software engineering experience
At least 1 year building Generative AI applications
Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks
Proficiency in at least one programming language: Python, PySpark, R, or SQL
Experience delivering Generative AI (LLM) solutions, preferably on Azure
Familiarity with Azure AI library APIs including GPT, Codex, and DALL·E, plus other frameworks such as Databricks Mosaic
Knowledge of big data technologies such as Spark and Databricks (TensorFlow and PyTorch are a plus)
Knowledge of Azure cloud services including Azure AI Platform, Azure Data Factory, Azure Synapse, and Azure Cognitive Services
Familiarity with integrating these services into ML workflows
Knowledge of AI ethics, including bias mitigation and explainability, and responsible AI practices
Understanding of security best practices for AI solutions, including data encryption, access control, and endpoint protection
Experience implementing AI/ML solutions in professional services, engineering, or construction environments is a plus
Azure or Databricks certifications are a plus (examples: Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional)

Technologies

Python, PySpark, R, SQL
Copilot, Copilot Studio
Azure Functions
Power BI
APIs, Graph connectors
Retrieval-augmented generation (RAG), event-driven patterns
GPT, Codex, DALL·E
Databricks Mosaic, Spark, Databricks
TensorFlow, PyTorch
Azure AI Platform, Azure Data Factory, Azure Synapse, Azure Cognitive Services

Compensation & Location

Location: New York, NY (hybrid)
Salary: USD 110,000 - 150,000 per year
Experience: Minimum 4 years

Benefits

Market-Competitive Compensation, including eligibility for an Annual Performance Bonus
Comprehensive Benefits Program: Medical, Dental, Vision, Life, Disability and more
Well-Being Program and Paid Parental Leave
Commuter Benefits
Hybrid Work Schedules and Cell Phone Stipends
GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
Connecting Conversation Program focused on professional development and opportunities for advancement
Support and financial rewards for Publication Awards, Professional Dues, and Professional Licenses
Paid Holidays and Generous Paid Time Off Program
Rewards and Recognition
GEI-Funded Profit Sharing and 401(k)
Opportunity to be an Owner and Shareholder
A vibrant culture focused on partnership, sustainability, giving back, and diversity, equity, and inclusion
And more

Physical Activity Requirements

Sedentary
Light
Medium
Other

Sitting
Standing
Walking
Climbing
Lifting (floor to waist level) (in pounds)
Lifting (waist level and above) (in pounds)
Carrying objects
Push/pull
Twisting
Bending
Reaching forward
Reaching overhead
Squat/kneel/crawl
Wrist position deviation
Pinching/fine motor skills
Keyboard use/repetitive motion
Taste or smell (taste=never)
Talk or hear
Near Vision
Far Vision
Color Discrimination
Depth perception
Hearing

Occupational Exposure Risk Potential

Reasonably Anticipated
Blood borne pathogens
Chemical
Airborne communicable diseases
Extreme temperatures
Radiation
Uneven surfaces or elevations
Extreme noise levels
Dust/particulate matter

Usual Workday Hours

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8d ago

Senior AI Engineer

Coforge Ltd. Oaks, PA

Oaks, PA

8d ago

Full time Senior Artificial Intelligence Azure

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Job Description

As a Senior AI Engineer at Coforge Ltd., you will design and deliver scalable AI and analytics solutions that support predictive, generative, and intelligent automation. The role is based onsite in Oaks, PA and focuses on enterprise architecture, building reliable Python and SQL foundations, and deploying capabilities on Microsoft Azure. Experience in financial services and regulated environments is highly desirable.

What you’ll do

Design end-to-end AI and analytics solutions for predictive, generative, and intelligent automation use cases.
Develop scalable architectures for model training, inference, feature generation, and analytical workloads.
Ensure solutions are resilient, extensible, and aligned with enterprise architecture standards.
Establish traceability and explainability across AI workflows and outputs.
Drive architecture decisions that support future AI initiatives and scalability needs.
Build clean, modular, maintainable Python applications for AI and analytics delivery.
Create reusable components and frameworks for machine learning and generative AI workloads.
Implement robust error handling, logging, monitoring, and automated testing practices.
Integrate AI/ML models into enterprise applications and business workflows.
Optimize code performance while maintaining strong engineering standards.
Develop and optimize complex SQL using CTEs, window functions, aggregates, and advanced analytical patterns.
Support large-scale analytical workloads and participate in performance tuning initiatives.
Design approaches for entity resolution, relationship discovery, and AI-driven analytics.
Ensure accuracy and consistency in analytical outputs and reporting.
Design and implement secure, scalable AI solutions on Microsoft Azure, using Azure-native services for deployment, monitoring, and governance.
Implement security controls including RBAC and managed identities, aligned with compliance requirements.
Define environment strategy across Development, Test, and Production environments.
Optimize cloud resource utilization and cost efficiency.
Design solutions for entity mapping, relationship modeling, network analysis, and knowledge graph use cases.
Develop reusable AI features that accelerate future AI initiatives and enable pattern discovery through intelligent contextual modeling and analytical frameworks.
Support integration of internal and external sources to enrich AI-driven insights.
Design AI architectures that can be reused across multiple AI and business scenarios.
Ensure solutions meet regulatory, compliance, and audit requirements, with governance of AI-generated outcomes.
Collaborate with business stakeholders across risk, operations, compliance, and analytics functions.
Apply quality controls to ensure accuracy and reliability of AI-driven insights.

Requirements

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, Data Science, or a related field.
8+ years of software engineering experience, including 4+ years focused on AI/ML solutions.
Expert-level Python programming skills.
Strong SQL expertise, including query optimization and analytical processing.
Hands-on experience with Microsoft Azure and Azure AI services.
Experience designing and deploying enterprise-scale AI solutions.
Strong understanding of the AI/ML lifecycle, including model deployment, monitoring, and governance.
Experience implementing secure and compliant cloud architectures.

Technologies

Python
SQL
CTEs
Window functions
Aggregates
Microsoft Azure
RBAC
Managed identities

Preferred skills

Experience with Generative AI, LLMs, RAG, Knowledge Graphs, and Agentic AI frameworks.
Experience with Azure OpenAI, Azure AI Foundry, Azure Machine Learning, and Cognitive Services.
Familiarity with graph analytics, relationship modeling, and entity resolution.
Financial Services domain experience including Risk, Compliance, Asset Management, Banking, or Capital Markets.
Exposure to MLOps, CI/CD pipelines, and AI governance frameworks.

Key skills

AI Solution Architecture
Generative AI (LLMs)
Azure OpenAI and Azure AI Services
Python Development
Advanced SQL
Azure Cloud Architecture
AI Governance and Explainability
Entity Resolution and Relationship Modeling
Knowledge Graphs
Machine Learning Integration
Model Deployment and Monitoring
Financial Services Domain

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8d ago

Sr AI Engineer I

American Express Phoenix, AZ

Phoenix, AZ

8d ago

$123k - $215k/yr Full time Senior Agentic Ai Agentic Ai Orchestration

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Job Description

American Express is seeking a Sr AI Engineer I based in Phoenix, AZ (onsite) to help build agentic AI systems and platforms designed to run responsibly and at scale within financial services. The role centers on engineering intelligent solutions for complex workflows, with clear attention to security, reliability, and compliance.

Key Responsibilities

Collaborate with product, design, and business stakeholders to deliver agentic capabilities that reduce operational friction, support improved decision-making, and enhance how customers interact, transact, and grow.
Design agentic AI systems that are intelligent and adaptive, with the ability to plan, reason, and act across complex workflows while matching appropriate autonomy levels.
Develop systems that enable autonomous workflows, decision support, and customer-facing experiences, meeting high expectations for security, explainability, reliability, and compliance in a regulated financial context.

Required Qualifications

6+ years of software engineering experience, including meaningful production experience using LLMs or applied ML systems.
Proven track record shipping AI-powered or agentic systems used by real customers or users.
Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
Hands-on experience with modern LLM tooling and agentic patterns and architectures.
Fluency with AI-assisted and agentic development workflows.
Sound ownership and technical judgment.
Ability to work effectively in ambiguous situations and turn that uncertainty into shipped, reliable product outcomes.
Strong product mindset and customer orientation.
Experience building agentic systems in fintech or other regulated industries.
Experience as a founding engineer or early technical contributor in high-growth environments.
Demonstrated ability to ship technically complex systems within regulated contexts that customers actively rely on.
Meaningful open-source contributions, particularly in AI or developer tooling.

Preferred Qualifications

Additional experience building agentic systems in fintech or other regulated industries.
Experience as a founding engineer or early technical contributor in high-growth environments.
Demonstrated ability to ship technically complex systems in regulated contexts that customers actively rely on.
Meaningful open-source contributions, particularly in AI or developer tooling.

Role Location and Compensation

Location: Phoenix, AZ (onsite)
Compensation: USD 123,000 - 215,250 per year

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8d ago

AI Engineer

Alight Deerfield, IL 🇺🇸 Remote

Deerfield, IL

8d ago

$120k - $220k/yr Full time Agent Orchestration Agentic Systems Artificial Intelligence

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Job Description

Alight is hiring an AI Engineer to build the AI engineering platform that supports AI delivery across Alight. This hands-on role focuses on developing production-ready AI agent capabilities, including orchestration patterns, retrieval, evaluation, ingestion pipelines, and operational deployment practices.

Key Responsibilities

Develop the agent patterns, retrieval, and guardrails behind agentic assistants that answer participant questions and perform transactions on their behalf.
Build and maintain an MCP server that provides a skills registry for AI coding agents inside the IDE.
Create reusable agent patterns in LangGraph, including multi-agent orchestration, memory, tool-use safety, and guardrails.
Develop an agent evaluation platform using frameworks such as DeepEval and Ragas, with quality gates that prevent deployment of inadequate changes in CI/CD.
Implement document ingestion and retrieval pipelines, including chunking, embedding, vector search, reranking, and citations.
Automate CI/CD and deployment for AI agents on AWS using ECS, Fargate, and Agent Core.
Deliver AI-enabled devcontainers with built-in tooling, validation, and testing.
Implement OpenTelemetry instrumentation, dashboards, and LLM cost and token tracking for production workloads.
Translate governance controls into pipeline checks with automated evidence collection.
Provide workload resilience with semantic caching, rate limiting, and graceful degradation under load.
Publish reference implementations plus SDK and CLI tooling and documentation used by other engineers.

Required Qualifications

Python proficiency (3.10+), as the primary language across the team.
AWS working knowledge of core services including IAM, ECS/Fargate, and networking, with comfort operating in cloud-native environments.
Software engineering discipline, including version control (Git/GitHub), code review, testing, documentation, and clean code practices.
Security awareness, including secure handling of sensitive data with a focus on secrets, permissions, and data protection.

Technology Stack

Python, AWS, IAM, ECS, Fargate
LangGraph, DeepEval, Ragas
OpenTelemetry, Agent Core, MCP
Git, GitHub, Terraform, CI/CD
Vector search, Reranking, Embeddings

Compensation

USD 120,000 - 220,000 per yearly

Work Location

Deerfield, IL (remote)

Benefits

Health, dental, and vision coverages starting Day One
Wellbeing programs
Retirement plans with contribution matching
Generous time off
Parental leave
Continuing education
Career growth opportunities

Flexible Working

Flexible working arrangements considered wherever possible.
Alight has been a leader in the flexible workspace and has been named “Top 100 Company for Remote Jobs” 6 years in a row.

Great Place to Work

Multiple awards of recognition, including “Great Place to Work” for the past 7 years.
Fortune’s “Best Companies to Work For.”

Relevant Expertise Areas

AI agent development: LangGraph or similar, multi-agent orchestration, memory, tool use, guardrails, prompt and workflow design.
Data and retrieval engineering: chunking, embeddings and vector search, RAG, hybrid search, reranking, retrieval evaluation.
Quality and evaluation: agent eval frameworks (DeepEval, Ragas), CI/CD quality gates, groundedness and safety metrics, test automation for AI systems.
Platform and infrastructure: CI/CD, Terraform, container orchestration on AWS (ECS, Fargate), secrets and IAM, progressive deployment.
Observability and operations: OpenTelemetry tracing, dashboards and alerting, LLM cost and token tracking, feedback loops.
Developer experience: MCP servers, devcontainers, CLI and SDK tooling, prompt libraries, documentation, and reference implementations built for other engineers.

Application and Interview Information

Background checks may include items such as SSN/SIN validation, education verification, employment verification, and criminal check, and may also include searches against global sanctions and government watch lists, credit check, and/or drug test depending on the position.
All virtual interviews must be conducted on video.
Alight has a camera-on culture and may require occasional travel to physical office locations.

Commitment to Inclusion

Reasonable accommodations will be provided for applicants with disabilities during the hiring process.
To request accommodation, contact alightcareers@alight.com.

Authorization to Work

Applicants must have work authorization that does not require visa sponsorship now or in the future for employment authorization in the Employing Country and with Alight.

Additional Note

This job description does not restrict management’s right to assign or reassign duties and responsibilities of this job to other entities, including subsidiaries, partners, or purchasers of Alight business units.

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8d ago

AI Engineer

BPD Nashville, TN

Nashville, TN

8d ago

Full time Backend Developer Agentic Ai Ai Engineer

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Job Description

BPD is a strategic growth partner delivering technology-enabled, AI-infused solutions to healthcare’s leading brands. You will help power the AI systems behind Violet and the broader analytics platform ThirdBase, turning a governed analytics foundation into trustworthy, compliant natural-language experiences.

Location: Nashville, TN (onsite) · Experience: 2–4 years

What you’ll do

Build and improve LLM-powered analytics features including agentic workflows, natural-language querying, retrieval-augmented generation (RAG), and tool-use across both structured and unstructured data.
Contribute to text-to-SQL and semantic-layer systems that help non-technical users query complex healthcare datasets accurately and safely.
Develop retrieval pipelines over document stores using vector search and hybrid keyword + semantic retrieval.
Implement evaluation, guardrails, and hallucination checks, with accuracy on domain data as a non-negotiable requirement in healthcare.
Help enforce data-governance and compliance controls in the AI layer, including derived-insights-only usage and no PHI/PII exposure, along with appropriate access controls.
Integrate multiple tools and data sources into agent workflows, including a warehouse, campaign platforms, web, and document repositories.
Deploy and maintain services on AWS, monitoring model performance, latency, and cost.
Collaborate with product, analytics, and senior engineers to translate requirements into shipped features.

What you bring

2–4 years building production software, including hands-on experience with LLM/GenAI applications such as RAG, agents, or text-to-SQL through work, internships, or substantial personal projects.
Solid Python and SQL; comfort querying a cloud data warehouse (Snowflake is a plus).
Working knowledge of AWS and deploying services in the cloud.
Substantive experience with LangGraph, CrewAI, n8n, or other agentic frameworks.
Experience with AI-assisted coding and CI/CD processes.
Familiarity with Node, React, or other JavaScript frameworks.
Exposure to retrieval systems, embeddings, or vector search.
Experiments-driven design using evaluation harnesses for change management.
Understanding of prompt engineering and LLM guardrails to make outputs reliable, not just functional.
Awareness of data privacy and compliance basics and willingness to build to them.
Ability to own a feature or component end-to-end and collaborate across a team.

Nice to have

Experience with healthcare/life-sciences data (claims, referrals, HCP, ICD-10) or another regulated data domain.
Familiarity with HIPAA / PHI-PII constraints or de-identified / derived-insights data models.
Exposure to agent orchestration frameworks and multi-tool workflows.
Basic MLOps/LLMOps such as monitoring and cost/latency optimization.
Background in analytics, BI, or data engineering.

Core technology and domain context

Cloud: AWS (Lambda, S3, ECS/Fargate, API Gateway)
Data warehouse: Snowflake, including SQL and semantic layers
AI/ML: LLMs (OpenAI/Anthropic-class models, including Amazon Bedrock), RAG, embeddings/vector search, prompt engineering, function-calling / tool-use
Data domains: healthcare claims, physician referrals, ICD-10 diagnosis, HCP engagement, campaign/media performance, survey/primary research
Data and documents: vector databases, hybrid search, integrations such as Egnyte and Google Drive
Governance: compliance-aware data access, PHI/PII handling, and source citation

Reports to: VP, Data Products & Technology · Department: Data Solutions & Analytics

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8d ago

Agentic AI Engineer

Morgan Stanley New York, NY

New York, NY

8d ago

$155k - $215k/yr Full time Backend Developer Artificial Intelligence Programming

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Job Description

Morgan Stanley is seeking a Vice President–level Agentic AI Engineer for the Institutional Securities Technology Research Technology team. This onsite role in New York, NY focuses on rapid prototyping and the delivery of scalable, governed, resilient GenAI and agentic solutions to support research.

Role Focus

You will lead the design and deployment of production-ready GenAI and agentic AI capabilities, partnering across technology and business groups to translate objectives into AI initiatives, delivery plans, and measurable outcomes. The position emphasizes hands-on technical leadership, including LLMs, RAG, agent orchestration, tool integration, and workflow automation, along with coordination across engineering, infrastructure, data, security, and governance stakeholders.

Responsibilities

Communicate regularly with product leads across the technology organization and discuss opportunities to improve existing and future technology solutions.
Partner with business stakeholders and the GenAI Infrastructure Lead to identify and prioritize high-value Research AI and agentic AI use cases.
Translate strategic business objectives into AI initiatives, delivery plans, and measurable outcomes.
Lead rapid prototyping to test ideas, validate technical feasibility, and demonstrate business value quickly.
Design, build, and deploy scalable, production-ready GenAI and agentic AI solutions with engineering teams.
Collaborate with engineering leads to integrate AI capabilities into existing applications and workflows, defining architecture, services, and controls required for AI solutions with enterprise infrastructure and platform teams.
Ensure solutions align with enterprise standards for scalability, reliability, security, observability, and governance.
Provide hands-on technical leadership across LLMs, RAG, agent orchestration, tool integration, and workflow automation.
Advise business stakeholders on technical options, limitations, risks, costs, and implementation trade-offs.
Coordinate across business, application-development, infrastructure, data, security, and governance teams.

Requirements

Ability to effectively manage multiple functions or guide junior staff and initiatives.
Advanced understanding of business line and discipline, with some knowledge of competitive environment and other disciplines.
Strong software development capability using Python and Java, producing optimized, clean, production-grade code.
Experience building systems that comply with regulatory standards.
Ability to influence beyond immediate teams to shape engineering standards and governance models.
Experience engaging in multi-year, high-visibility programs that are business and regulatory driven.
Hands-on experience leveraging Generative AI, coding assistants, and LLMs to improve software development and build AI-native applications.
Experience designing, developing, deploying, and integrating MCP servers with AI agents and enterprise applications.
Familiarity with vector databases and semantic search technologies, including platforms such as MongoDB, Redis, or similar vector stores.
Experience with containers, pipelines, Linux, and shell scripting.
Hands-on experience with AI agent orchestration frameworks such as LangChain/LangGraph, Claude Agent SDK, OpenAI Agents SDK, or equivalent frameworks.
Experience using generative coding assistants and LLMs embedded into applications.
Experience with enterprise-grade DevOps, CI/CD, and observability tools.
Excellent analytical, communication, and stakeholder management skills, with collaboration across engineering, product, architecture, security, and business teams.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related discipline.