Lead AI and Data Solution Engineer (LLMs, MCP)

Boston, Massachusetts • Salary: Market related • Posted: 1 day ago

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Lead AI and Data Solution Engineer (LLMs, MCP)

Our client is seeking a Lead AI and Data Solution Engineer (LLMs, MCP) to join their company for a 3–6-month contract to hire position. The ideal candidate will have deep expertise in data engineering, agentic AI systems, large language models (LLMs), and Model Context Protocol (MCP). 

  • Location: Remote, Eastern Business Hours
  • Compensation: This job is expected to pay about $74-79/hr plus benefits
  • Client does not offer H-1B sponsorship for this position.

What You’ll Do:

  • Solution Engineering: Lead the design, development, and deployment of enterprise-scale data and AI solutions, ensuring alignment with business objectives and technical best practices.
  • LLM and Agentic AI: Architect, implement, and optimize large language models and agentic AI workflows for business automation and decision support.
  • Framework Expertise: Design and deploy AI solutions using leading frameworks such as LangChain, LangGraph, and n8n for scalable agent orchestration, workflow automation, and integration with business systems
  • Model Context Protocol (MCP): Develop, integrate, and manage MCP-based solutions to enhance model interpretability, context management, and deployment at scale.
  • Cloud and Data Engineering: Leverage AWS and Snowflake to build scalable, secure, and efficient data pipelines for structured and unstructured data.
  • Collaboration: Partner with cross-functional teams, including other technology, business, risk, legal, and compliance stakeholders, to deliver integrated solutions.
  • Innovation: Stay current with emerging technologies and industry trends in AI, data engineering, and cloud computing, driving continuous improvement and innovation.
  • Governance and Compliance: Ensure all solutions meet regulatory, security, and compliance requirements relevant to the financial services industry.
  • Mentorship: Provide technical leadership and mentorship to junior team members.

What Gets You the Job: 

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
  • 8+ years of experience in data engineering, AI solution development, or related roles.
  • Proven expertise in large language models (LLMs), agentic AI systems, and Model Context Protocol (MCP).
  • Good working experience developing and integrating AI solutions using AWS Bedrock, including prompt engineering, RAG, and enterprise application integration.
  • Strong experience with Snowflake and AWS services (Glue, S3, Lambda, SageMaker, etc.).
  • Experience in the financial services or mortgage industry is preferred.
  • Deep understanding of AI/ML frameworks, data pipelines, and cloud-native architectures.
  • Hands-on experience with LLM deployment, fine-tuning, and integration.
  • Proficiency in agentic AI design patterns and implementation.
  • Expertise in Model Context Protocol (MCP) for context-aware model deployment and management.
  • Strong knowledge of Snowflake, AWS, and advanced data modeling.

If we are still actively screening for this role, our AI Recruiter, Avery will email you to schedule a virtual meeting to learn more about your background. 

Irvine Technology Corporation (ITC) is a leading provider of technology and staffing solutions for IT, Security, Engineering, and Interactive Design disciplines servicing startups to enterprise clients, nationally. We pride ourselves in the ability to introduce you to our intimate network of business and technology leaders – bringing you opportunity coupled with personal growth, and professional development!  Join us. Let us catapult your career!

 

Irvine Technology Corporation provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Irvine Technology Corporation complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.

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