- Hands-on with frameworks like LangChain, CrewAI, AutoGen.
- Strong in RAG architectures, tool-calling, memory, reflection/critique loops.
- Proven delivery of at least one production-grade multi-agent GenAI system.
- Python proficiency (preferred language for agentic workflows).
- Familiarity with cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex, Anthropic APIs).
- Experience designing persona catalogs, system prompts, tone/authority boundaries.
- Ability to operationalize persona adaptation within agent flows (not post-processing).
- Hands-on RCA in complex systems (network, IT ops, customer journeys).
- Embedding RCA methodologies (5 Whys, Ishikawa, fault tree) into agent workflows.
- Integration with observability tools (logs, metrics, traces, events).
- Knowledge of guardrails, PII handling, access control, auditability, responsible AI practices.
- Ability to enforce policy-bound behavior in enterprise contexts.
- End-to-end program ownership (design → pilot → hypercare).
- Experience in regulated industries (telecom, finance, healthcare).
- Strong stakeholder management and ability to present outcomes in business-friendly language.
- 8–12 years in AI/ML, software engineering, or data science.
- 2–3+ years specifically in GenAI / agentic systems.
- Must have delivered at least one production or late-stage pilot of a multi-agent GenAI system.
Please share your updated resume at manshi.sharma@atvntiq.com
Job Types: Full-time, Contract
Pay: $65.00 - $68.00 per hour
Work Location: Hybrid remote in Seattle, WA 98102