[All remote jobs](https://jobicy.com/jobs.md)[![TITAN logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/08/81b82aeb-221.png)](https://jobicy.com/company/titan.md)[TITAN](https://jobicy.com/company/titan.md) # Forward Deployed Engineer – Managed AI AI Summary Titan is seeking a client-facing Forward Deployed Engineer to scope, build, deploy, and operationalize LLM-powered agents for enterprise customers. The role centers on integrating AI agents with Microsoft 365 and line-of-business systems, including Graph API, SharePoint, Teams, Outlook, client APIs, and MCP servers. The engineer owns delivery from workflow discovery through production deployment, user training, governance documentation, and measurable adoption outcomes. Success depends on shipping secure, reusable solutions quickly while managing fixed-fee scope and collaborating with client leaders, vCAIOs, product, and go-to-market teams.[Apply for this job](#job-application)[View company](https://jobicy.com/company/titan.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 150k–200k / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceOpen levelPublished3 Nov 2026Apply before3 Dec 2026Listing views49Application actions3Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. Opportunity details ## About this role. ### About Titan Titan is building the AI workforce for IT. We deploy AI agents across our portfolio of Managed Service Providers and enterprise customers: agents that monitor, triage, and resolve work across the service desk, infrastructure, security, identity, endpoint, and application operations. The result is faster resolutions, better uptime, and more proactive, personalized support, delivered 24/7. In under a year we’ve raised over $100M from General Catalyst, 8VC, and CalPERS, acquired market-leading MSPs like RFA, and put agents into production in large enterprises. We’ve automated 100K+ tickets across 400+ customers. Our tech team has talent from Scale AI, CoreWeave, Vanta, Dropbox, Meta, FiveRings, TwoSigma, Amazon, Harvard, Stanford, and MIT. Joining Titan means helping redefine how work gets done in IT services, and building a $100B company. ### About the team Managed AI is Titan’s program for companies making AI part of how they run. We manage their new and existing AI platforms, advise their leadership on AI strategy and governance, and build custom agents, software and integrations. Our clients range from hedge funds to medical device makers, and each one brings new systems, workflows and problems to solve. Forward Deployed Engineers (Managed AI) are the builders behind it. ### About the role Forward Deployed Engineers (Managed AI) take a client workflow from shortlisted idea to an agent running in the client’s tenant, usually within a quarter. You own scoping, the build, the deployment and the handover, working directly with client teams and their IT. You’ll write connectors into Microsoft 365 and line-of-business systems, build agents on Claude, ChatGPT or Copilot, and ship them under the client’s own controls. You own and measure success by agents live in production, adoption by the user group each was built for, and delivery inside the fixed fee we quoted. You work closely with vCAIOs, other Forward Deployed Engineers, Product and GTM. This role is remote (US). ### In this role you will * Join vCAIO-led opportunity assessments and find the workflows where data is spread across systems nobody reads in the same week * Scope each build: the systems it reads, the actions it takes, its user group, its success metric and baseline, and say so when the bottleneck sits outside the client’s control * Build the agents, connectors (Microsoft Graph, SharePoint, Teams, Outlook, client APIs, MCP servers) and skills each engagement needs * Deploy into client tenants with least-privilege access, an entry in the governance register, and documentation that holds up to an auditor or a DDQ * Measure each agent against its baseline, train its users, and hand it into ongoing maintenance under the platform * Turn what works in one engagement into connectors, skills, evals and templates the next one can reuse ### A typical engagement A first agent goes live in month three of a client’s program, at a fixed fee, measured against a baseline taken in month two. * Month 1, platform connected, shadow AI and spend baseline: review the tenant inventory; note the systems and data you will need * Month 2, vCAIO-led agent opportunity assessment: join interviews, score workflows on value, risk and effort, capture the baseline, write the scope * Month 3, first agent build: build, deploy to a named user group, measure, hand over * Month 4+, further agents scoped per project: maintain the live agent; scope and build the next one ### Example projects These are the kinds of agents you would build in your first months. * Medical device manufacturer, customer site activation tracker: reads the commercial team’s Teams channels, account files in SharePoint, Outlook threads and the current tracker; follows each new customer site through contracting, training and first use; flags sites that have stalled or lack a named owner. The commercial team sees every stalled site in one place, every week. * Hedge fund, investor DDQ responder: reads past DDQs, policies and the compliance library; drafts answers to a new questionnaire with a source for every line. First draft in hours instead of two weeks of IR and compliance time. * Industrial manufacturer, supplier quality monitor: reads supplier certificates, incoming inspection results from the ERP and nonconformance reports; flags expiring certifications and repeat defects; drafts the supplier corrective action request. Quality catches supplier issues before they reach the line, and every request leaves an audit trail. ### You might thrive in this role if you * Bring 4+ years of engineering experience, including client-facing work * Have built or shipped LLM-powered agents and know how model behavior shapes the product experience * Write and review production-grade code in TypeScript, Python, or a comparable stack * Know Microsoft 365 as a data source: Graph API, SharePoint, Teams, Outlook, and how app permissions and consent work in a tenant * Can run a scoping session with a business leader, say no to a weak use case, and write a scope a CFO will sign * Would rather put a working agent in front of 10 users in three weeks than a perfect one in front of none in three months * Take extreme ownership of problems and delivery, and handle client data with a security mindset ### Bonus * Forward deployed, solutions or sales engineering experience at a SaaS, AI or consulting company * Built on MCP: servers, connectors, or skills for Claude, ChatGPT or Copilot ### Logistics * Location: Remote (US) * Travel: Up to 5%, for on-site discovery and launch * Compensation: $150,000–$200,000 base * Interview process: recruiter screen; technical call; take-home or live build of a small agent against a mock Microsoft 365 tenant; client scoping role-play with a vCAIO; founder conversation Show more [Apply now >](https://jobicy.com/jobs/158746-forward-deployed-engineer-managed-ai.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior, delivery-oriented engineering role requiring production LLM-agent development, enterprise integrations, security controls, and client-facing solution design. Engineers are accountable for business outcomes, fixed-fee delivery, and rapid production launches across varied client environments. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$175,000US market range (per year)$155k–$210k0$231.00k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer explicitly lists a base compensation range of $150,000–$200,000. The annual cadence is inferred from the US-based full-time engineering context and the stated base-pay amount; estimated US market compensation for a senior forward-deployed AI engineer is approximately $155,000–$210,000 per year. ## Core skills Skills and capabilities most closely associated with this opportunity. [LLM agent development](https://jobicy.com/jobs?search_keywords=LLM%20agent%20development.md)[TypeScript](https://jobicy.com/jobs?search_keywords=TypeScript.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Microsoft Graph API](https://jobicy.com/jobs?search_keywords=Microsoft%20Graph%20API.md)[Microsoft 365](https://jobicy.com/jobs?search_keywords=Microsoft%20365.md)[SharePoint integration](https://jobicy.com/jobs?search_keywords=SharePoint%20integration.md)[Microsoft Teams integration](https://jobicy.com/jobs?search_keywords=Microsoft%20Teams%20integration.md)[Outlook integration](https://jobicy.com/jobs?search_keywords=Outlook%20integration.md)[API integration](https://jobicy.com/jobs?search_keywords=API%20integration.md)[Model Context Protocol](https://jobicy.com/jobs?search_keywords=Model%20Context%20Protocol.md)[Enterprise AI governance](https://jobicy.com/jobs?search_keywords=Enterprise%20AI%20governance.md)[OAuth and tenant permissions](https://jobicy.com/jobs?search_keywords=OAuth%20and%20tenant%20permissions.md)[Solution scoping](https://jobicy.com/jobs?search_keywords=Solution%20scoping.md)[Client-facing engineering](https://jobicy.com/jobs?search_keywords=Client-facing%20engineering.md)[Production deployment](https://jobicy.com/jobs?search_keywords=Production%20deployment.md) Sample interview questionsHow would you take an AI-agent idea from a client workshop to a production deployment?I would first define the user group, workflow, source systems, actions, measurable baseline, risk profile, and explicit non-goals. I would validate data access and permissions early, build a small end-to-end version against representative data, evaluate quality and safety, then deploy with least privilege, monitoring, documentation, and a user-training plan. How would you design a Microsoft 365-based agent that reads Teams, SharePoint, and Outlook while protecting client data? I would use Microsoft Graph with narrowly scoped application or delegated permissions, obtain documented tenant consent, and limit retrieval to approved sites, mailboxes, groups, and data classifications. I would implement secure secret management, audit logging, retention controls, access reviews, and clear escalation paths for sensitive or low-confidence outputs. How do you evaluate whether an LLM agent is ready for a client user group? I would create a representative evaluation set from approved historical or synthetic cases and define task-specific measures such as groundedness, action accuracy, citation quality, completion rate, and harmful-error rate. I would combine automated evaluation with human review, set launch thresholds, and monitor production feedback and exceptions after release. A client asks for an agent that is technically feasible but has weak business value. What would you do? I would explain the expected effort, operational risks, and limited return using the client's own baseline and success metrics. I would propose a narrower or alternative workflow with clearer value, and I would document the recommendation so stakeholders can make an informed scope decision. How would you keep a fixed-fee AI engagement on track when requirements evolve? I would establish a written scope covering systems, users, actions, acceptance criteria, timeline, and exclusions before implementation. I would run frequent milestone reviews, make trade-offs visible, and treat material changes as explicitly prioritized follow-on work rather than allowing unplanned expansion to compromise delivery. Next step ## Apply now. Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information. Keep exploring ## Related remote jobs. * ![Zone & Co logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/618aec90-221.png) Zone & Co Nov 3 New ### [Director, Engineering (The Americas)](https://jobicy.com/jobs/158819-director-engineering-the-americas.md) Zone & Company Software Consulting LLC (“Zone”) is the ERP-native AI platform for financial operations, purpose-built for organizations running on Oracle NetSuite. 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