Jobs via Dice · 12 hours ago
Lead AI and Data Solutions Engineer
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Allwyn Corporation, is seeking a Lead AI and Data Solutions Engineer who will design scalable, secure, and innovative data pipelines and AI solutions. The role requires deep expertise in data engineering and AI systems, with a focus on delivering business value through advanced technology.
Computer Software
Responsibilities
Lead the design, development, and deployment of enterprise-scale data and AI solutions, ensuring alignment with business objectives and technical best practices
Architect, implement, and optimize large language models and agentic AI workflows for business automation and decision support
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
Develop, integrate, and manage MCP-based solutions to enhance model interpretability, context management, and deployment at scale
Leverage AWS and Snowflake to build scalable, secure, and efficient data pipelines for structured and unstructured data
Partner with cross-functional teams, including other technology, business, risk, legal, and compliance stakeholders, to deliver integrated solutions
Stay current with emerging technologies and industry trends in AI, data engineering, and cloud computing, driving continuous improvement and innovation
Ensure all solutions meet regulatory, security, and compliance requirements relevant to the financial services industry
Provide technical leadership and mentorship to junior team members
Qualification
Required
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.)
Preferred
Deep experience with AWS and Snowflake services, including a strong understanding of security best practices for cloud-based AI and data solutions
Company
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Funding
Current Stage
Early StageCompany data provided by crunchbase