Lead AI and Data Solutions Engineer
Lead AI and Data Solutions Engineer
Posted on :
02-10-2025
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1 Vacancy
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Job Description
Lead AI and Data Solutions Engineer
Remote 6 months Contract to Hire
Those authorized to work in the U.S. without sponsorship will be considered. We are not able to sponsor at this time.
Our Client is seeking an experienced Lead AI and Data Solution Engineer to drive the development integration and deployment of advanced AI data engineering and cloud-based solutions. This is a full-time remote opportunity.
Education
- Bachelors or Masters degree in Computer Science Data Science Engineering or a related field.
Minimum Experience - 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.
- Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future. Our Client does not offer H-1B sponsorship for this position.
Specialized Knowledge & Skills
- 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.
- Experience with data governance security and compliance best practices.
- Excellent communication collaboration and presentation skills.
- Ability to translate complex technical concepts for non-technical stakeholders.
Our Client built and operates the largest and most advanced mortgage securitization platform in the world supporting the Uniform Mortgage-Backed Security (UMBS) of Fannie Mae and Freddie Mac.
Supporting 70% of the mortgage-backed securities in the market Our Client provides best-in-class single-family issuance bond administration disclosure and tax services. We support a broad portfolio of products for our clients with full lifecycle management.
Supporting 70% of the mortgage-backed securities in the market Our Client provides best-in-class single-family issuance bond administration disclosure and tax services. We support a broad portfolio of products for our clients with full lifecycle management.
Our market-leading cloud-based end-to-end platform executes transactions on an extraordinary scale which has bolstered liquidity in the secondary mortgage market one of the largest and most important financial markets in the world. Our unique approach to securitization combines the best minds in financial services with the know-how flexibility and innovation of leading technologists.
Responsibilities:
Job Information
The ideal candidate will have deep expertise in data engineering agentic AI systems large language models (LLMs) and Model Context Protocol (MCP). The preferred candidate will bring deep experience with AWS and Snowflake services including a strong understanding of security best practices for cloud-based AI and data solutions. This role requires a hands-on leader who can design scalable secure and innovative data pipelines and AI solutions that deliver business value.
The ideal candidate will have deep expertise in data engineering agentic AI systems large language models (LLMs) and Model Context Protocol (MCP). The preferred candidate will bring deep experience with AWS and Snowflake services including a strong understanding of security best practices for cloud-based AI and data solutions. This role requires a hands-on leader who can design scalable secure and innovative data pipelines and AI solutions that deliver business value.
Key Job Functions
- 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.
JPC-7006
Employment Type
Full-time
Key Skills
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