Sr AI Developer/Agentic AI Engineer
About The Position
We are 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 FinLabs 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 16,400+, and has 60 offices in 20 countries within key global markets. Our challenge We are seeking an Agentic AI Engineer candidate will be responsible to design, build, and operate LLM-powered agents that interpret inbound servicing requests (e.g., email / case intake), retrieve grounded knowledge, and execute approved workflows through secure too/API integrations - with enterprise-grade controls, observability, and human-in-the-loop patterns. Additional Information The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Charlotte, NC is $90k - $95k/year & benefits (see below). The Role Responsibilities: Agentic Al Solution Development Build and enhance LLM/agent orchestration (Planner/supervisor patterns, tool-using agents, routing, guardrails). Implement intent classification information extraction validation and decision logic for servicing workflows. Developed tool calling integrations to downstream systems (CRM, workflow engine, core banking services, case management). Implement human-in-the-loop workflows (review, approval, escalation, override) based on confidence/risk thresholds. Knowledge and grounding (RAG) Design and implement retrieval-augmented generation (RAG) for policy procedure grounding and resolution guidance. Build knowledge ingestion pipelines with refresh/versioning. Improve answer quality via chunking strategies, embeddings re ranking and context management. Quality, Safety and Evaluation Define and run evaluation frameworks: golden datasets, scenario tests, regression tests, and automated scoring. Reduce hallucinations and risk by implementing prompt policies, constraints, structured outputs, and verification steps. Partner with risk slash compliance to ensure traceability, audit logs, explain ability requirements are met. Production Readiness and Operations Implement observability for agents (latency, cost, tool failures, drift, quality signals, escalation rates). Support CI/CD for agent prompts and configurations (versioning, approvals, rollback). Collaborate with platform and security teams on secrets management, access controls, PIl protections, and safe deployments.
Requirements
- 4+ years of software engineering experience or equivalent with strong CS fundamentals.
- Hands-on experience building with LLMs and modern Al app stack (agents, RAG, tool/function calling).
- Strong proficiency in Python and building back-end services/APls.
- Experience with at least one: LangChain/ LangGraph, Llamalndex, Semantic Kernel or equivalent frameworks.
- Experience with vector databases and search (e.g., Pinecone, Weaviate, Milvus, OpenSearch/Elastic).
- Experience deploying services in cloud environments (AWS/Azure/GP) with basic DevOps practices.
- Strong understanding of security and privacy principles (PIl handling, least privilege, audit logging).
Nice To Haves
- Experience in financial services or other regulated domains (risk controls, compliance audit readiness).
- Experience integrating with enterprise workflows (e.g., ServiceNow, Custom workflow engines, BPM/RPA).
- Familiarity with model evaluation approaches (LLM-as-judge, rubric scoring, retrieval evals, offline/online testing).
- Experience with messaging/eventing (Kafka/SQS), email ingestion pipelines, and document processing.
- Exposure to MRM concerns and governance (model cards, risk assessments, validation processes).
Responsibilities
- Agentic Al Solution Development Build and enhance LLM/agent orchestration (Planner/supervisor patterns, tool-using agents, routing, guardrails).
- Implement intent classification information extraction validation and decision logic for servicing workflows.
- Developed tool calling integrations to downstream systems (CRM, workflow engine, core banking services, case management).
- Implement human-in-the-loop workflows (review, approval, escalation, override) based on confidence/risk thresholds.
- Knowledge and grounding (RAG) Design and implement retrieval-augmented generation (RAG) for policy procedure grounding and resolution guidance.
- Build knowledge ingestion pipelines with refresh/versioning.
- Improve answer quality via chunking strategies, embeddings re ranking and context management.
- Quality, Safety and Evaluation Define and run evaluation frameworks: golden datasets, scenario tests, regression tests, and automated scoring.
- Reduce hallucinations and risk by implementing prompt policies, constraints, structured outputs, and verification steps.
- Partner with risk slash compliance to ensure traceability, audit logs, explain ability requirements are met.
- Production Readiness and Operations Implement observability for agents (latency, cost, tool failures, drift, quality signals, escalation rates).
- Support CI/CD for agent prompts and configurations (versioning, approvals, rollback).
- Collaborate with platform and security teams on secrets management, access controls, PIl protections, and safe deployments.
Benefits
- A highly competitive compensation and benefits package.
- A multinational organization with 60 offices in 20 countries and the possibility to work abroad.
- 10 days of paid annual leave (plus sick leave and national holidays).
- Maternity & paternity leave plans.
- A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
- Retirement savings plans.
- A higher education certification policy.
- Commuter benefits (varies by region).
- Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
- On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
- Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
- Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
- A flat and approachable organization.
- A truly diverse, fun-loving, and global work culture.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
