We are seeking a highly skilled and passionate GenAI Lead/Architect to drive the design, development, and deployment of cutting-edge enterprise AI solutions. This role offers an exciting opportunity to work at the forefront of Generative AI technologies, particularly Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and Reasoning Agents, to unlock data insights and deliver impactful business outcomes.
You will play a pivotal role in shaping AI strategies, designing scalable architectures, implementing intelligent agents, and leading projects from conceptualization to production deployment. If you are deeply enthusiastic about GenAI, hands-on with Azure AI services, and eager to drive real-world business impact through innovative AI solutions, we would love to meet you!
Key Responsibilities
- GenAI and LLM Expertise. Lead initiatives leveraging Generative AI models, with a strong focus on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to extract and interpret data-driven insights.
- Reasoning Agents and Chain of Thought (CoT) Modeling. Design, build, and implement intelligent Reasoning Agents and Chain of Thought processes to enhance decision-making capabilities and complex problem-solving workflows.
- Azure AI Solutions. Architect and implement solutions using Azure AI services including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning.
- Prompt Engineering. Develop, optimize, and fine-tune prompts for LLMs to ensure accurate and context-aware outputs, driving better human-machine interactions.
- API Development. Build and integrate robust APIs to enable seamless communication between AI models and enterprise applications.
- Graph Databases Expertise. Apply knowledge of Graph DBs such as COSMOS DB, Neo4j, and others to structure and query relational data for reasoning and inference tasks.
- Enterprise AI Use Cases. Drive the full lifecycle of AI solutions from identifying business opportunities, architecting models, to productionizing and scaling them across the enterprise. Prior experience in taking at least one enterprise AI project live is essential.
- Domain Expertise. Leverage deep domain understanding in Finance and Data Management to craft AI solutions tailored to industry-specific challenges and opportunities.
Required Skills and Qualifications
- 6+ years of experience in AI/ML technologies, with at least 2-3 years focused on GenAI and LLMs.
- Strong expertise in Azure AI ecosystem (Azure OpenAI Service, Azure Cognitive Search, Azure Machine Learning).
- Hands-on experience with Large Language Models (LLMs) like GPT-4, Llama, Claude, Gemini, etc.
- Proficiency in RAG architectures, Data Insights generation, Knowledge Graphs, and building Reasoning Agents.
- Experience working with Graph databases like COSMOS DB, Neo4j.
- Strong background in Prompt Engineering techniques.
- Sound understanding of API development and system integrations.
- Prior domain exposure in Financial Services and Data Management is highly preferred.
- Demonstrated experience in successfully delivering at least one enterprise-grade AI solution to production.
- Strong problem-solving skills, analytical thinking, and an innovative mindset.
Good to Have
- Familiarity with LangChain, Haystack, or similar frameworks for LLM applications.
- Knowledge of security, governance, and compliance frameworks for enterprise AI applications.
- Familiarity with MLOps and DevOps practices for AI.
Why Join Us?
- Be a part of a fast-growing AI team with a focus on innovation and real-world impact.
- Work on enterprise-scale AI transformation projects that influence business decisions.
- Opportunity to work alongside top AI architects and domain experts.
- Flexible and collaborative work culture fostering continuous learning and career growth.
Ready to revolutionize enterprise AI with us?
Apply now and be a key architect in building the future of intelligent business solutions!