The ideal candidate combines deep technical expertise with strong business acumen and is comfortable partnering with business leaders, architects, product owners, and engineering teams to translate business challenges into production-ready AI applications.
What You Will Do
· Lead the design and development of enterprise Generative AI applications supporting critical business functions.
· Build scalable AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and orchestration frameworks.
· Partner with business stakeholders to identify high-value AI opportunities and convert requirements into technical solutions.
· Mentor AI Engineers and establish engineering best practices for coding, testing, documentation, and deployment.
· Collaborate with architects, cybersecurity, cloud, infrastructure, and data teams to deliver secure, production-ready AI solutions.
· Evaluate emerging AI technologies and recommend improvements that align with enterprise strategy.
· Optimize AI models for performance, reliability, scalability, security, and cost efficiency.
· Present technical recommendations, solution designs, and implementation updates to leadership and cross-functional teams.
What You Will Bring
· Bachelor''''s or Master''''s degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or related discipline.
· 7–10 years of software engineering experience with at least 5 years building AI/ML or Generative AI solutions.
· Strong business acumen with the ability to understand enterprise processes and recommend AI-driven improvements.
· Hands-on experience with Python, OpenAI, Azure AI, AWS Bedrock, LangChain, LangGraph, vector databases, APIs, Docker, Kubernetes, Git, and cloud-native architectures.
· Excellent communication, collaboration, and stakeholder management skills in large enterprise environments.
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