Al Developer​/Agentic Al Engineer

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 & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin 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 16,400+, and has 60 offices in 20 countries within key global markets.

We are building an agentic AI platform to transform commercial banking customer service. The AI Developer will 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 tools/APIs, ensuring enterprise-grade controls, observability, and human-in-the-loop patterns.

This role is part of a cross-functional team comprising Product, Operations, Technology, and Risk partners, focused on delivering production-ready agentic AI capabilities for regulated financial services.

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 $100k - $110k/year & benefits (see below).

• 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

• 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

• 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.

• 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.

• 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/APIs.
• Experience with at least one:
  Lang Chain/ Lang Graph, Llamalndex, Semantic Kernel or equivalent frameworks.
• Experience with vector databases and search (e.g., Pinecone, Weaviate, Milvus, Open Search/Elastic, )
• Experience deploying services in cloud environments (AWS/Azure/GP) with basic Dev Ops practices
• Strong understanding of security and privacy principles (PIl handling, least privilege, audit logging)

• Experience in financial services or other regulated domains (risk controls, compliance audit readiness)
• Experience integrating with enterprise workflows (e.g., Service Now, 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)

• Experience in financial services or regulated domains (risk controls, compliance).
• Familiarity with enterprise workflow integrations (e.g., Service Now, RPA, BPM).
• Knowledge of model evaluation techniques and testing approaches.
• Exposure to messaging/eventing systems (Kafka/SQS), document processing, and ingestion pipelines.
• Understanding of MRM governance, model cards, risk assessments, and validation processes.

• A highly competitive…