Description
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About The Role: The Enterprise Apps AI Center of Excellence (CoE) is a team that operates with the agility of a startup to generate substantial value for Enterprise organizations through Artificial Intelligence. As the Manager, Software Engineering, you will lead our team in conceptualizing, developing, and deploying impactful AI/ML solutions that revolutionize enterprise business processes.
Responsibilities:
- Hands-on People Manager: Working hands-on on GenAI and agentic AI, ML/Deep Learning along with managing and mentoring the team.
- Architect AI solutions: Design AI applications, agentic systems, and software platforms that transform business processes across Enterprise Applications.
- Build and deploy agentic systems in production: Design, code, and ship multi-agent workflows, RAG pipelines, tool calling, and AI-powered automation using modern GenAI frameworks.
- Integrate AI into enterprise systems: Connect AI solutions to external systems using REST APIs, MCP, and tools.
- Set quality and safety standards: Build LLM evaluation frameworks, observability, and guardrails, and apply responsible AI and security practices.
- Turn messy data into AI-ready data: Work with large-scale, unstructured, and messy data.
- Deliver business impact: Partner with business leaders to identify high-value AI use cases, make build-vs-buy decisions, measure ROI, and present proposals and results to executives.
- Lead AI research and initiatives: Proactively research AI/ML advancements and industry trends, and lead AI/ML and data initiatives.
- Educate and enable: Able to educate engineers and business stakeholders on GenAI concepts, capabilities, and limitations.
- Mentor engineers: Coach junior and mid-level engineers through code reviews, design reviews, and pairing.
Requirements:
- Bachelor's or Master's degree in Computer Science, Software Engineering, or an equivalent quantitative field.
- Strong engineering fundamentals with hands-on depth in at least one backend language.
- People Management and Mentorship with technical hands-on experience.
- Production GenAI experience: built and deployed agentic systems and GenAI applications in production.
- Strong expertise in LLMs, Transformers, and modern GenAI.
- Solid foundation in machine learning and deep learning.
- Proven technical leadership and mentorship.
- Strong SDLC understanding.
- Excellent communication.