Senior Ai Engineer - Webster, Ma

An established organization in the insurance and financial services space is seeking a Senior AI Engineer to lead the development of next-generation AI solutions that improve operational efficiency and transform complex business processes.

In this role, you will design, build, and deploy production-ready AI applications, agent-based systems, and intelligent workflow solutions that integrate with enterprise platforms and data sources. You'll work closely with architects, business leaders, and engineering teams to deliver scalable AI products from concept through production.

This position is ideal for an experienced engineer who enjoys combining software engineering excellence with modern AI technologies to solve challenging real-world problems.

Location: Hybrid (3 days onsite) in Webster, MA

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline with 7+ years of professional experience, or a Master's degree with 5+ years of relevant experience
• 2+ years of hands-on experience building and deploying LLM-powered applications in production environments
• Experience developing AI-driven workflows, autonomous systems, or multi-step orchestration solutions
• Strong Python programming and software engineering skills
• Expertise building APIs, integrating external services, implementing automated testing, and supporting production applications
• Experience working with AI orchestration frameworks such as Lang Graph or similar technologies
• Familiarity with foundation model APIs and managed AI platforms such as Amazon Bedrock
• Experience evaluating AI solutions through testing frameworks, benchmark datasets, and performance measurement techniques
• Understanding of AI governance, security, observability, and reliability best practices
• Strong communication skills and the ability to collaborate with both technical and business stakeholders

• Experience with in insurance, financial services, healthcare, or other regulated industries
• Knowledge of underwriting, claims processing, or operational workflow automation
• Experience deploying applications in AWS cloud environments
• Familiarity with Retrieval-Augmented Generation (RAG), structured outputs, and prompt engineering techniques
• Experience integrating enterprise systems through APIs and MCP-based architectures
• Knowledge of containerization technologies and CI/CD pipelines
• Previous experience mentoring engineers or contributing to engineering standards and best practices

• Design and develop intelligent AI applications that automate business-critical workflows
• Build scalable agent-based solutions that integrate with enterprise data, APIs, and internal platforms
• Collaborate with architects and stakeholders to translate business requirements into technical solutions
• Evaluate and recommend the most effective approaches across traditional software, machine learning, generative AI, and agentic architectures
• Develop backend services using Python and modern API frameworks such as FastAPI
• Create reusable components, frameworks, and services that accelerate future AI initiatives
• Establish testing, evaluation, and monitoring standards for AI applications in production
• Implement logging, observability, security controls, audit capabilities, and operational guardrails
• Develop proof-of-concept applications and MVP solutions to validate business value
• Support cloud deployments, containerized workloads, and automated delivery pipelines
• Present technical findings, solution performance, and business impact to stakeholders across the organization

• Base Salary: $140,000 - $191,000
• Eligibility for performance-based bonus opportunities
• Hybrid work model with 3 days onsite in Webster, MA
• Opportunity to work on high-impact AI initiatives with enterprise-wide visibility
• Professional growth, learning, and career advancement opportunities

• Medical Insurance
• Dental Benefits
• Vision Benefits
• Flexible Paid Time Off (PTO)
• 401(k) with company matching contributions and profit sharing opportunities
• Life Insurance
• Short-Term Disability Coverage
• Long-Term Disability Coverage
• Health Savings Account (HSA)
• Flexible Spending Account (FSA)
• Employee Wellness Programs

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.