What are the responsibilities and job description for the Lead AI Engineer position at Gyansys?
Gyansys is looking for a Lead AI Engineer for one of our direct client.
About GyanSys
GyanSys Inc is a global systems integrator & solutions provider focused on providing strategic business process, technology, platform, and managed service solutions.
As a recognized innovator in digital and process transformation, we specialize in SAP and Salesforce implementations, managed services, and analytics. We integrate cutting edge solutions in complex multi-cloud environments to optimize operations and to maximize return on investment. With over 2000 consultants, we are headquartered in Indianapolis USA, with delivery centers in Bangalore, India and Manilla, Philippines.
Scope of Work
- Lead architecture and solution design for Agentic AI applications.
- Build and oversee development of AI agents and multi-agent systems using LangGraph and LangChain.
- Design and optimize AI workflows across multiple LLMs (GPT, Claude, Llama, etc.).
- Guide engineering teams and establish development best practices.
- Develop enterprise integrations, APIs, and event-driven AI services.
- Drive deployment, operationalization, and scalability of AI applications.
- Coordinate with platform, security, data, and product teams to ensure successful delivery.
- Leverage AI-assisted development tools such as Claude Code and Codex to accelerate engineering productivity.
Must-Have Skills
- 5 years of experience in AI/ML.
- 1 years of experience building Agentic AI solutions.
- Strong expertise in Python and modern software engineering practices.
- Hands-on experience with LangGraph, LangChain, LLMs, and prompt engineering.
- Experience architecting and deploying enterprise AI applications.
- Familiarity with Azure AI Foundry, AWS Bedrock, Google Gemini Enterprise, or similar platforms.
- Strong understanding of APIs, event-driven architectures, CI/CD, and cloud deployment.
- Proven ability to lead technical initiatives and drive solution delivery.
- Excellent communication, stakeholder management, and problem-solving skills.
- Experience with enterprise data integration and AI application deployment.