AI Lead Developer

We are looking for a profile that combines strong technical skills with effective business communication.

Key expectations include:

• Clear prioritization
• Regular, structured status updates
• Clear ownership of actions
• The ability to present and explain technical topics in a way that is relatable to the business
• The ability to translate business requirements into AI solutions and project a clear AI vision across relevant use cases
• candidates having strong lead experience who will be handling a team, Technical Leadership & Architecture
• Define solution architecture for GenAI/agentic capabilities (RAG, tool/function calling, orchestration, guardrails).
• Make design decisions balancing quality, latency, cost, and compliance; produce lightweight architecture artifacts and decision logs.

Hands-on Delivery (Prototype to Production)

• Build and deploy production-ready GenAI services/APIs (microservices) and reusable components (accelerators, templates, SDKs).
• Implement data ingestion + retrieval pipelines (chunking, embeddings, indexing) and integrate enterprise data sources.
• Establish evaluation approach (benchmarks, regression tests, golden datasets) and manage prompt/model versioning.

LLMOps / Platform Enablement

• Implement CI/CD, automated testing gates, rollout strategies, monitoring/logging/tracing, and operational runbooks.
• Support incident/change workflows and ensure production readiness (SLOs, resiliency, cost controls).

Security, Privacy & Responsible AI

• Implement controls for PII protection, access management, auditability, prompt-injection mitigation, safety filters, and governance alignment.

Collaboration & Mentoring

• Partner with product, architecture, data, and security stakeholders; translate requirements into backlog and deliverables.
• Mentor engineers and align distributed/global teams on standards and delivery practices.

Drive the design, development, and industrialization of Generative AI and Agentic AI solutions in a global, high-tech enterprise setting. This role owns the journey from PoC * MVP * production with enterprise-grade quality: security, scalability, reliability, observability, and governance. Candidate must be platform-agnostic; hands-on Google Cloud Platform experience is preferred. Familiarity with classical AI/ML for hybrid solutions is a strong advantage., * 8+ years software engineering; 2+ years delivering GenAI/LLM solutions (hands-on).

• Demonstrated success taking at least one GenAI solution into production (not only PoCs).
• Strong coding in Python (and/or Java/Go/TypeScript) plus API/service engineering.
• Strong GenAI fundamentals: RAG, embeddings, prompt lifecycle, tool/function calling, agentic patterns, evaluation methods.
• Cloud-native engineering: containers, Kubernetes (or equivalent), CI/CD, IaC, observability.
• Ability to work onsite in Herndon - 3 days/week.

Preferred / Nice to Have

• Hands-on Google Cloud Platform (e.g., Vertex AI, BigQuery, Cloud Run/GKE, Pub/Sub, IAM/Secret Manager).
• Classical AI/ML exposure for hybrid systems (prediction + GenAI).
• Experience with vector DB / enterprise search and working in regulated/high-security environments., * Production-grade GenAI/agentic service(s) with monitoring, alerting, runbooks, and support readiness.