Agentic AI Solutions & Business Translator

Role Summary

Reporting to the AI Capability Lead, the Agentic AI Solutions & Business Translator is accountable for designing and delivering agentic and multi-agent AI systems across assigned domains (Discovery, Development, Commercial, or a combination). We are seeking a tech-savvy AI Translator with a passion for agentic and multi-agent approaches who can seamlessly connect business needs with engineering solutions. In this role, you will uncover requirements, clarify objectives, and translate them into actionable technical specifications that our engineering teams can implement. You will work closely with business-facing technology roles, domain stakeholders, and engineers to transform ideas into scalable, production-ready solutions.

Responsibilities

• Bridge business and technology: Capture strategic objectives and convert them into agentic specifications, technical as well as architecture plans, and delivery roadmaps.
• Explore and help define use cases: for agentic and multi-agent AI systems, help stakeholders understand possibilities & limitations, assess clarity and feasibility of assigned AI initiatives.
• Design multi-agent systems: Architect workflows, build pilots leveraging Azure, AWS, Snowflake, Databricks etc.; harden for production with observability and reliability.
• Integrate Buy solutions: Seamlessly incorporate third-party or vendor-provided AI components into multi-agentic frameworks and process flows, ensuring interoperability, compliance, and performance.
• Partner across the enterprise: Engineering and Innovation (AI Capability team), Architecture, Infrastructure, Security, Quality, Compliance, Operations.
• Stay ahead of emerging AI trends: tools and frameworks, keeping our solutions cutting-edge.

Skills

• Strong background in: AI engineering, Data Science, Software Development.
• Hands-on experience with (some of):
  • Azure AI & ML stack; Azure Machine Learning, Cognitive Services, OpenAI on Azure
  • AWS AI/ML services: SageMaker, Bedrock, Lambda
  • Snowflake: Data Warehousing, Analytics
  • Databricks: Big Data, ML Workflows
  • Open-source AI frameworks: LangChain, Hugging Face, PyTorch, TensorFlow
• Familiarity with agentic and multi-agent architectures: LangGraph, AutoGen, CrewAI.
• Proficiency in Python and R.
• Experience with API integrations and orchestration tools.
• Understanding of: Data pipelines, MLOps, Cloud-native architectures.

Education

• Bachelor‚Äôs or Master‚Äôs degree in: Computer Science, Engineering, Data Science, or related field
• Advanced degree or specialization in AI/ML is a plus.

Experience

• 5+ years in: AI and ML engineering, solution architecture or technical product roles.
• Proven track record of translating business requirements into technical solutions.