Responsibilities
- Design and develop autonomous AI agents and multi-agent workflows for business and operational needs.
- Build agentic applications using Amazon Bedrock, AgentCore, LangChain, LangGraph, Strands Agents SDK, and related frameworks.
- Implement orchestration, planning, memory management, tool calling, routing, human-in-the-loop capabilities, and MCP-based integrations.
- Translate product and business requirements into technical designs, implementation plans, and measurable outcomes.
- Evaluate and optimize LLM performance, response quality, reliability, latency, cost, and safety.
- Develop reusable components, documentation, test plans, evaluation reports, monitoring configurations, and operational runbooks.
- Support production deployment, troubleshooting, monitoring, and continuous improvement of AI applications.
- Apply privacy, security, responsible AI, reliability, and sustainability controls throughout the solution lifecycle.
- Collaborate with product, engineering, data, security, and delivery teams.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field, or equivalent relevant experience or demonstrated technical capability.
- More than 6 years of relevant professional experience in software engineering, AI engineering, data engineering, or closely related roles.
- At least 2 years of hands-on experience developing AI, generative AI, LLM, agentic AI, or related solutions.
- Hands-on experience with Python, Amazon Bedrock, AgentCore, LangChain, LangGraph, MCP, and Strands Agents SDK or similar frameworks.
- Practical experience designing and implementing AI agents, agent workflows, tool calling, memory management, LLM orchestration, and multi-agent systems.
- Knowledge of prompt engineering, agent design patterns, RAG, data handling, cloud deployment, access control, testing, evaluation, and operational support.
- Ability to develop maintainable, testable, production-ready code, integrations, APIs, automation components, technical documentation, and operational procedures.
- Experience with enterprise-grade, cloud-based, regulated, or operationally critical software solutions is preferred.
- Relevant cloud, AI, generative AI, software engineering, or professional technology certifications are preferred but not mandatory.
- Equivalent combinations of professional experience, project delivery, open-source contributions, technical research, or demonstrable production implementations may qualify.
Benefits
- Flexible workplace arrangements, mentoring, internal mobility, and learning and development programs are offered.
- The employer is an equal opportunity and affirmative action workplace committed to diversity and inclusion.
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About Synechron
At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Synechron Labs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,000+, and has 55 offices in 20 countries within key global markets. For more information on the company, please visit our website:www.synechron.com.