Key Responsibilities
· Design and implement backend architectures for scalable GenAI solutions.
· Build agentic RAG pipelines with strong context management.
· Lead model grounding, fine-tuning, and distillation for enterprise AI.
· Implement observability and monitoring frameworks for AI in production.
· Drive responsible AI practices, aligning with risk and compliance policies.
· Integrate GenAI frameworks, cloud services, and container orchestration.
· Optimize AI deployments for scalability, resilience, and cost efficiency.
· Lead agile project delivery, mentoring technical teams.
· Communicate architectural decisions clearly to both technical and business leaders.
Required Qualifications
· 12+ years of experience in building and scaling software systems.
· Proven expertise in backend and distributed cloud-native architectures.
· Hands-on experience with Generative AI techniques: agentic RAG, prompt context, grounding, fine-tuning.
· Strong knowledge of responsible AI, risk, and compliance frameworks.
· Proficiency in containerization (Docker) and orchestration (Kubernetes).
· Experience with Cognigy.AI or similar conversational AI platforms.
· Skilled in cloud platforms (AWS, Azure, GCP) for AI deployments.
· Familiarity with GenAI frameworks (e.g., LangChain, LlamaIndex, Haystack).
· Experience with MLOps, CI/CD, and AI observability.
· Excellent communication and leadership skills with experience in agile delivery.
· Strategic thinker with strong problem-solving and analytical abilities.
Preferred Qualifications
· Experience with model distillation and cost optimization.
· Background in multi-cloud or hybrid AI deployments.
· Knowledge of vector databases, retrieval pipelines, and embeddings.
· Certifications in AI/ML, cloud architecture, or responsible AI.
Equal Opportunity Employer: .
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