Summary
Our Artificial Intelligence team is made up of academically accomplished experts—and there's room for more analytical and innovative data talents to join us.
We are seeking a Senior AI Developer to join Avanade's AI Engineering Team. You'll lead the design and delivery of agentic AI solutions for our clients, split roughly 50/50 between presales and delivery. You'll join a community of smart, supportive collaborators where you'll shape solutions end to end, mentor junior engineers, and grow as a recognized technical leader.
Together we do what matters.
This opportunity is ideal for
experienced AI engineers with min 8 years in AI/ML and
at least 1 year of hands-on agentic AI experience. The role is split roughly
50% presales and 50% delivery, with
ad hoc travel to customer locations within the country.
Key Responsibilities
- Architect end-to-end agentic AI solutions for client engagements, making key technology and design decisions across the full stack
- Lead delivery workstreams across projects, guiding hands-on implementation and mentoring junior developers
- Drive presales activities including creating proposals, responding to RFPs, estimating effort and pricing, and scoping and sizing solutions
- Build POCs and present technical demos to clients, translating business problems into compelling agentic AI solutions
- Run client workshops and discovery sessions independently, providing thought leadership on agentic AI patterns, trade-offs, and emerging trends
- Own solution quality end to end, applying RAG patterns, agent evaluation, and responsible AI practices to ensure accurate, reliable, and safe agent behavior in production
Qualifications
Skills and experiences
- Min 8 years of hands-on experience in AI/ML engineering, with at least 1 year delivering agentic AI solutions
- Deep working experience with at least one agentic framework such as LangGraph, LangChain, Microsoft Agent Framework, ADK, or AutoGen, and a solid grasp of agent design patterns including planning, tool use, memory, and multi-agent orchestration
- Strong proficiency in Python for production-grade agent development, debugging, and performance tuning
- Hands-on experience delivering AI workloads on at least one major cloud platform (Azure, AWS, or GCP)
- Proven experience applying RAG patterns and agent evaluation techniques in real project or product settings
- Strong English communication skills with the ability to lead client workshops, present to executives, and facilitate technical discovery
- Demonstrated experience leading technical delivery of AI solutions end to end, including making architecture decisions and mentoring junior engineers
- Experience contributing to presales activities such as proposals, effort estimation, pricing, and solution scoping in a consulting or professional services context
Nice to Have
- Relevant cloud or AI certifications (e.g., Azure AI Engineer Associate, AWS Machine Learning, or equivalent)
- Hands-on experience with the Microsoft AI ecosystem such as Microsoft Foundry, Copilot Studio, or Power Platform
- Working knowledge of Model Context Protocol (MCP) and how it extends agent capabilities in enterprise settings
- Experience with AI workflow automation tools such as n8n or OpenAI Agent Builder
- Fluency with Git and modern AI coding assistants as part of day-to-day engineering practice
Personal Attributes
- Thought leadership instincts, comfortable shaping points of view on agentic AI and sharing them with clients and peers
- Strong sense of end-to-end solution ownership, from discovery and design through delivery and handover
- Effective stakeholder management across technical and executive audiences, including clients, delivery teams, and internal leadership
- Consulting mindset, balancing technical depth with client empathy and a sharp focus on business outcomes
- Genuine curiosity about frontier AI and willingness to learn new frameworks and techniques quickly as the agentic landscape evolves
