
Job Description:
As a Senior AI Architect, you will lead the design and rollout of enterprise-grade Generative AI (GenAI) solutions, ensuring scalability, security, and business alignment. Beyond hands-on implementation, you'll play a pivotal role in defining AI strategy, architecture standards, and governance frameworks. You'll evaluate technology stacks, guide engineering teams, and collaborate with leadership stakeholders to bring real-time AI applications (summarization, conversational AI, decision-support systems) into production.
Key Responsibilities:
- Define end-to-end AI architecture blueprints, ensuring scalability, interoperability, and compliance.
- Evaluate and select appropriate LLMs, frameworks, and vector stores aligned with business needs.
- Lead design of Retrieval-Augmented Generation (RAG) pipelines and integrations with enterprise knowledge bases.
- Set architectural best practices for model deployment, monitoring, & optimization across cloud environments (AWS, Azure, GCP).
- Mentor AI engineers and foster cross-functional collaboration with product, data, and engineering teams.
- Stay abreast of GenAI trends (agentic systems, multimodal models, open-source LLMs) and advise on adoption roadmaps.
- Present architectural recommendations and influence AI strategy at the leadership level.
What We're Looking For:
- 12+ years in AI/ML, data engineering, or software architecture.
- Experience with agentic frameworks (AutoGen, Crew), MLOps pipelines, and security-conscious AI design.
- Track record of designing and deploying large-scale AI systems in production.
- Deep expertise in cloud-native AI deployments (Azure ML, SageMaker, Vertex AI).
- Hands-on knowledge of LangChain, Langraph, RAG, vector databases (Pinecone, Weaviate, Faiss).
- Strong background in Python and ML frameworks (PyTorch, TensorFlow).
- Proven experience guiding teams, making architecture decisions, and adopting technology.
- Strategic thinker comfortable with presenting to executives and technical stakeholders alike.
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