Senior Generative AI Engineer / AI Agent Developer

Senior Generative AI Engineer / AI Agent Developer

Join a forward-thinking organization at the forefront of enterprise AI innovation as a Senior Generative AI Engineer / AI Agent Developer. This pivotal role offers the opportunity to design, develop, and deploy cutting-edge AI agents and workflows that address complex business challenges. You will be integral to building scalable, enterprise-grade AI solutions, working closely with cross-functional teams to drive AI strategy and platform capabilities, all within a dynamic, fast-paced environment.

Key Responsibilities:

Architect, develop, and deploy AI agents and agentic workflows leveraging modern Generative AI frameworks.
Build scalable AI solutions utilizing Large Language Models (LLMs), retrieval-augmented generation (RAG), orchestration frameworks, and autonomous agents.
Collaborate with business, product, and engineering teams to identify AI use cases and deliver production-ready solutions.
Evaluate and incorporate emerging AI technologies, frameworks, and tools to enhance solution effectiveness.
Ensure AI solutions adhere to enterprise standards for security, performance, scalability, and maintainability.
Help establish enterprise AI standards, platform capabilities, tooling, and best practices in a greenfield environment.
Partner with stakeholders across enterprise architecture and engineering to enable and govern AI deployment.

Required Skills:

Hands-on experience with Microsoft Azure AI Foundry, Azure AI services, and deploying enterprise AI solutions.
Proven expertise in building, testing, and deploying AI agents within enterprise environments.
Strong understanding of Large Language Models (LLMs), prompt engineering, AI workflow orchestration, tool calling, and agent architectures.
Proficiency in Python and modern AI/ML development practices.
Experience with AI-assisted development platforms such as Claude, GitHub Copilot, Cursor, Windsurf, or Slingshot.
Solid software engineering fundamentals including API integration and system design.
Ability to operate effectively in a greenfield environment and establish enterprise AI standards.

Nice to Have Skills:

Experience with cloud-native AI architectures and MLOps best practices.
Familiarity with agent orchestration and observability frameworks such as LangGraph, LangChain, or LangSmith.
Experience with AWS Bedrock, Google Cloud AI, or comparable enterprise AI platforms.
Experience integrating AI solutions with enterprise data platforms and business applications.

Preferred Education & Experience:

Bachelor’s or higher degree in Computer Science, Engineering, or a related field.
Extensive hands-on experience with enterprise AI platform development, deployment, and governance.
Proven ability to lead AI initiatives and collaborate effectively with technical and business teams.

Other Requirements:

Must be available to work on-site if within the Boston or Needham area, or open to remote arrangements.
Ability to start quickly with demonstrated enterprise AI and agent experience.
Strong communication and collaboration skills to align technical solutions with organizational goals.
This role is tailored for candidates ready to make an immediate impact and help shape enterprise AI platforms for the future.