Lead Forward Deployed Engineer - Delta Palantir

Lead Forward Deployed Engineer
London (Hybrid) Placed Exclusively by Morela

Morela is proud to be supporting a venture-backed enterprise AI business with the search for a Lead Forward Deployed Engineer. This is a permanent, London-based hybrid role, with a competitive base salary plus stock options, and visa sponsorship is available for the right person. It's built for a seasoned operator who thrives where cutting-edge technology meets real-world impact, and who can own the last mile of implementation, where the competitive moat is actually built.

About the Client
Our client is transforming how large organisations make data-driven decisions. Their platform brings complex internal and external datasets together in one place, so businesses can strengthen their long-term strategies with clear, actionable insight.

The founder previously built and led a billion-dollar division, and saw first-hand how much value is lost between strategy and execution. The company exists to close that gap. It's backed by top-tier investors and already trusted by Fortune 500 industrial leaders. The client's identity will be shared on introduction.

Most enterprise software companies hand over a platform and walk away. This one embeds the people who make it work inside the customer's business. The Forward Deployed Engineer isn't a support function here, it's the centre of how they win.

The Role
This is a lead, client-facing role for someone who has already spent years deploying complex data and AI solutions inside large enterprises, ideally a lead Palantir (Foundry / AIP) consultant or equivalent, and is ready to own the hardest engagements end to end. You'll work shoulder to shoulder with industry leaders to embed the platform deep into their operations, turning strategic intent into live systems that drive measurable results.

You won't just ship software. You'll be the person who turns it into scale, and who sets the standard for how the business deploys.

Responsibilities

• Own the hardest enterprise deployments end to end, from discovery through to live systems running in production
• Run discovery with senior stakeholders, shape scope, and translate ambiguous strategic problems into technical delivery plans
• Build data integrations and pipelines using PySpark, Python and SQL, working with complex internal and third-party datasets
• Design and implement AIP and workflow-driven solutions that put the platform deep into the customer's operations
• Be the senior technical voice in the room with executive stakeholders, and the person the customer trusts when something is hard
• Set the standard for how the business deploys, raising delivery quality and mentoring engineers around you
• Feed the field back into the product, turning what you learn on the front line into what gets built next

Essential Requirements

• Typically 7+ years deploying complex data and AI solutions inside large enterprises
• Lead-level Palantir (Foundry / AIP) experience strongly preferred, or an equivalent enterprise data platform background
• Strong hands-on Python, PySpark and SQL. This is a building role, not an advisory one
• A track record of owning engagements end to end rather than delivering a defined slice of someone else\'s plan
• Genuine credibility with senior stakeholders, comfortable challenging and influencing at executive level
• The temperament for ambiguity, speed and high autonomy. This is a start-up, not a programme office

Desirable Experience

• Mentoring engineers and setting delivery standards across a team
• Deploying into industrial or Fortune 500 enterprise environments
• Early-stage start-up or scale-up experience

Working Environment

• London hybrid working
• Competitive base salary plus stock options
• Visa sponsorship available for the right person
• The chance to shape a category-defining product at an early stage, with direct access to the founder
• A committed net-zero pledge and a team that takes it seriously
• Salary ranges from £80,000 to £120,000, based on the individual s experience, capabilities, and performance, and benchmarked against the company s internal salary structure and market rates.
• For a confidential conversation, get in touch: (url removed)

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