Sr. Forward Deployed AI Solutions Engineer

About this role

<h2><strong>About the role</strong></h2> <p>The Forward Deployed Solutions Engineer will work directly within a business domain (e.g., Commercial, Clinical Operations, Lab Operations, Sales & Marketing, Customer Experience etc.). In your role, you’ll find opportunities for enhancing efficiency and productivity by looking for workflows which can be executed 10–100x faster or more often than a human team could using AI agents, integrations and other patterns. You will build, deploy, and run them in production.</p> <p>You report into the central AI & Automation team, partner directly with domain leadership on priorities, and bring patterns back so the whole company compounds.</p> <h3><strong>Find the leverage in your domain</strong></h3> <ul> <li>Map the workflows in your domain — the ones running today, and the ones that don’t exist yet because they weren’t feasible without agents or automation tools.</li> <li>Identify the step-change opportunities: where AI, ML, or automation unlock throughput, coverage, or speed.</li> <li>Build the business case, quantify projected impact, and align with domain leadership on priorities. </li> </ul> <h3><strong>Design the future-state workflow</strong></h3> <ul> <li>Map structured and unstructured data flows across the systems involved (CRM, ERP, ticketing, document stores, internal tools, external SaaS).</li> <li>Define the target workflow: what the agent does, what the human does, and where they hand off.</li> <li>Figure out what context the agent or model needs to do the work well — and how to get it there reliably (retrieval, grounding, tool access, memory).</li> <li>Design human-in-the-loop checkpoints so review adds value without becoming the bottleneck.</li> </ul> <h3><strong>Build and connect the systems</strong></h3> <ul> <li>Stand up agents and automation pipelines using the organization’s approved AI platforms and frameworks.</li> <li>Connect agents to business systems — via MCP servers, APIs, webhooks, CLIs, and skills — within the guardrails set by IT and security.</li> <li>Configure tools, prompts, context, and retrieval pipelines so agents perform reliably on real work, not just in demos.</li> <li>Handle integration gnarliness: auth, schema drift, rate limits, data quality, and the messy last-mile of enterprise systems.</li> <li>Enable access and training for business to run the workflows</li> </ul> <h3><strong>Run agents and automation pipelines in production</strong></h3> <ul> <li>Own agent performance end-to-end. Track the KPIs that matter — throughput, quality, cost, human intervention rate, cycle time, adoption.</li> <li>Build and manage evals. Re-run them on any material model, data, or workflow change before it ships.</li> <li>Triage failures, tune prompts and context, iterate on the workflow, and retire agents when they’re no longer the right tool.</li> <li>Instrument observability: tracing, structured logs, dashboards. You don’t ship what you can’t see.</li> </ul> <h2><strong>What we’re looking for</strong></h2> <ul> <li>Hands-on technical fluency. CLIs, APIs, webhooks, SQL, and Python scripting. Working knowledge of LLM and agent behavior — prompting, context, tool use, RAG, MCP, evals, failure modes. Be very comfortable with a cloud platform.</li> <li>Trustworthy with elevated access. Least-privilege, auditability, and safe rollbacks are second nature.</li> <li>Strong technical and process judgment. You think in outcomes and KPIs, can defend prioritization calls, and are comfortable being the most technical person in a business meeting and the most business-savvy in a technical one.</li> </ul> <h2><strong>Nice to have</strong></h2> <ul> <li>Prior experience working hand in hand with businesses to deliver measurable outcomes.</li> <li>Hands-on experience with an enterprise agentic platform (CrewAI, LangChain, AWS Bedrock, Claude, Codex) or building directly against a model API.</li> <li>Background in product management, solutions engineering, consulting, forward-deployed engineering, or technical operations.</li> <li>Experience in regulated environments (HIPAA, SOC 2, GxP, SOX).</li> </ul> <h2><strong>Success in year one</strong></h2> <ul> <li>Shipped three or more workflows into production that are measurably moving a business KPI, with agent evals and observability in place.</li> <li>Domain leadership brings you into planning early, not late.</li> <li>Contributed at least one reusable asset another engineer on the team is now using.</li> <li>Enabling non builders to become builders using the artifacts you created.</li> </ul> <h2>Compensation Ranges:</h2> <p>The base salary range for standard cost of living areas is: $125,000-$156,300</p> <p>Higher cost of living areas: $137,500 - $171,900</p> <p>Lower cost of living areas: $112,600-$140,700</p> <p>Additional components such as bonus and equity are also included in this role.</p> <p> </p><div class="content-pay-transparency"><div class="pay-input"><div class="description">The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This…