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Key skills for this role
Embed in a business function and work with the Domain Leader and subject matter experts to map workflows, surface pain points, and identify high-value AI opportunities.
Translate business problems into scoped, deliverable use cases — balancing ambition with what is practical to build and adopt.
Design and build AI solutions using the right tools for the problem: Microsoft AI and productivity platforms (Copilot Studio, Azure OpenAI, M365), RAG pipelines, agent workflows, automation tooling, and custom development where needed.
Prototype quickly, test with real users, and iterate within short sprint cycles.
Deliver solutions that integrate into existing workflows — not standalone demos.
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Own adoption as well as technical delivery — work alongside change resources to help teams actually use what gets built.
Gather feedback post-deployment to improve performance and increase business value over time.
Contribute to patterns and practices that can scale across squads and functions.
Bridge business stakeholders, data teams, and platform partners — translating clearly in both directions.
Provide concise, honest updates on progress, risks, and tradeoffs to technical and senior non-technical audiences alike.
5+ years in software engineering, solutions engineering, applied AI, or a closely related technical role.
Hands-on experience building and deploying AI, automation, or intelligent workflow solutions in real business settings.
Strong working knowledge of LLMs, prompt design, retrieval-based architectures, orchestration, and agent-based systems.
Comfortable integrating with enterprise APIs, data sources, and workflow platforms.
A genuine drive to see change land — you understand that building the solution is only half the job.
Clear communicator; able to explain technical decisions in plain language to business and leadership audiences.
Experience with Microsoft AI platforms: Copilot Studio, Azure OpenAI, M365, Power Platform.
Custom development skills (Python, JavaScript, or similar) for problems that off-the-shelf tooling cannot solve.
Background in technical consulting, solutions architecture, or customer-facing engineering.
Experience with change enablement, user adoption, or process redesign alongside technical delivery.
Working solutions in users’ hands at the end of each sprint — not decks or proofs of concept.
Measurable business outcomes: time saved, processes improved, decisions made faster.
A team that has adopted the tools and can articulate the impact.
A function that can operate and evolve its AI solutions after the engagement ends.
Global technology company delivering Smarter Technology for All.
Visit company websiteJobs and hiring trendsUSD 180000-220000 yearly / year
Full-time
Senior · 5+ years experience
Hybrid
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