Note: The job is a remote job and is open to candidates in USA. INA Solution is seeking a highly technical leader to head engineering for a next-generation Data, AI, and Agentic AI platform. The role will own end-to-end architecture, lead the development of scalable data and AI solutions, establish engineering standards, and build and mentor distributed engineering teams while remaining hands-on in design and implementation.
Responsibilities
- Own the end-to-end technical architecture across AWS, Databricks, Data Engineering, AI, and Agentic AI
- Design and build scalable lakehouse and data platforms using technologies such as Databricks, Unity Catalog, Delta Lake, DLT, Spark/PySpark, and AWS
- Lead the development of GenAI, RAG, semantic search, knowledge graphs, and agentic AI workflows
- Translate business and product requirements into technical architecture, prototypes, and production-ready solutions
- Establish engineering standards around security, governance, data quality, CI/CD, testing, observability, and reliability
- Partner with Product and business stakeholders to identify opportunities where AI and automation can improve workflows and decision-making
- Lead architecture decisions across data ingestion, semantic models, AI/ML platforms, APIs, and intelligent applications
- Build and mentor high-performing engineering teams, including distributed and external engineering resources
- Provide hands-on technical leadership and remain close to architecture, design, and implementation
- Help establish the technical roadmap for the continued expansion of the platform
Skills
- • 15+ years of software/data/AI engineering experience, with significant experience in architecture and technical leadership
- • Deep hands-on experience with AWS and modern data platforms
- • Strong Databricks experience, ideally including Unity Catalog, Delta Lake, DLT, and Databricks AI capabilities
- • Strong experience building GenAI / Agentic AI / RAG solutions in production
- • Experience with technologies such as AWS Bedrock, SageMaker, LangChain/LangGraph, vector databases, knowledge graphs, or similar AI frameworks
- • Proven experience designing and building products, platforms, or business workflows, rather than primarily managing programs or providing high-level strategy
- • Experience taking solutions from business problem → requirements → architecture → POC → production
- • Strong software engineering fundamentals, including APIs, distributed systems, CI/CD, IaC, testing, security, and observability
- • Experience leading engineering teams and working with onshore/offshore or outsourced engineering organizations
- • Strong communication skills with the ability to explain complex technical decisions to executives and non-technical stakeholders
- Experience in a technology consulting, engineering services, or professional services organization is highly valued, particularly where you have worked directly with clients to design and implement technology solutions
- Experience with strategic sourcing, contracting, supplier data, or procurement workflows is a plus
Benefits
- Remote work arrangement in the USA
Company Overview