Forward Deployed Engineer (Remote)

What You Will Do

• Discover and Define
• 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.
• Build and Deploy
• 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.
• Drive Adoption and Impact
• 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.

What We’re Looking For

• Required: 5+ years in software engineering, solutions engineering, applied AI, or a closely related technical role.
• PREFERRED: Hands-on experience building and deploying AI, automation, or intelligent workflow solutions in real business settings.
• Experience with Microsoft AI platforms: Copilot Studio, Azure OpenAI, M365, Power Platform.
• A clear communicator; able to explain technical decisions in plain language to business and leadership audiences.
• A genuine drive to see change land — you understand that building the solution is only half the job.
• Comfortable integrating with enterprise APIs, data sources, and workflow platforms.
• Strong working knowledge of LLMs, prompt design, retrieval-based architectures, orchestration, and agent-based systems.
• 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.

Success Looks Like

• 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.

Benefits

• The base salary range budgeted for this position is $220,000 – $310,000 (annually/hourly).
• Individuals may also be considered for bonuses and/or commissions.
• Lenovo’s various benefits can be found at www.lenovobenefits.com.