Job Summary

We are seeking a highly skilled and forward-thinking AI Tech Lead to architect, build, and lead the implementation of cutting-edge AI solutions using state-of-the-art platforms including Palantir Foundry , Anthropic (Claude) , Google Gemini , and OpenAI (GPT-4/5) . You will lead technical initiatives, guide cross-functional teams, and drive the strategic adoption of LLMs and generative AI within enterprise environments. Familiarity with AWS Cloud is essential for infrastructure deployment and scalability.

Key Responsibilities

• Lead the design and development of enterprise AI solutions using LLMs from OpenAI, Anthropic, and Google Gemini, integrated into scalable cloud environments.

• Leverage Palantir Foundry to model, manage, and operationalize data for AI-driven decision-making.

• Develop and fine-tune LLM pipelines for summarization, RAG (retrieval-augmented generation), classification, agents, and copilots.

• Collaborate with stakeholders to translate business problems into robust, AI-powered technical solutions.

• Drive the evaluation and benchmarking of foundation models across platforms (Claude, Gemini, GPT).

• Architect and deploy scalable solutions on AWS Cloud , leveraging services like SageMaker, Lambda, S3, ECS, and Bedrock.

• Provide technical leadership and mentoring to engineers and data scientists.

• Establish best practices for MLOps, model monitoring , prompt engineering, and generative AI governance.

• Contribute to strategic AI roadmaps , vendor evaluations, and technical partnerships with leading LLM providers.

Required Qualifications

• Bachelor's or Master’s degree in Computer Science, Engineering, Data Science, or related field.

• 6+ years of experience in AI/ML with 2+ years in a lead or principal engineer role.

• Hands-on experience working with LLMs from OpenAI, Anthropic (Claude), and Google Gemini .

• Solid understanding of Palantir Foundry workflows, ontology management, and operationalizing machine learning within Foundry.

• Proficiency in Python , API integration, and AI frameworks (LangChain, LlamaIndex, Transformers, etc.).

• Strong experience deploying AI applications on AWS and familiarity with services like Bedrock, SageMaker, or ECS.

• Experience with prompt engineering , model fine-tuning, vector databases (e.g., FAISS, Pinecone), and retrieval systems.

• Demonstrated success in leading AI projects from concept to production in enterprise settings.