Lead Forward Deployed Engineer

Own technical delivery of your engagement, from first prototype, delivery to stable production.

Lead discovery and scoping sessions: ask the right questions, frame the problem, and translate business needs into a delivery plan.

Independently manage projects end to end, operating with minimal direction in ambiguous engagements.

Architect and build full-stack, AI-powered systems that deliver measurable client value.

Scope work, sequence delivery, estimate effort, manage risks and dependencies, and remove blockers early.

Make sound trade-offs between scope, speed, and quality, and communicate those trade-offs clearly to clients.

Contribute directly in the code when progress or clarity depends on it.

Embed closely with client teams, understand their needs, and guide adoption of what you build.

Consult with client stakeholders on how AI can improve or transform their products and ways of working, identifying opportunities they may not yet see.

Build trust with both technical and non-technical stakeholders, including enterprise and executive audiences.

Partner with Sales and Presales teams to shape proposals, solution approaches, estimations, and technical responses.

Mentor engineers on the team and uplift delivery and AI-native capability around you.

Bring field feedback to delivery, design, and commercial teams to sharpen how we engage and grow accounts.

Champion AI-native ways of working, including AI-first development, testing, and documentation.

Apply prompt and context engineering standards, output validation, guardrails, and fallback strategies.

Stay current with emerging GenAI trends and tools and translate them into practical, value-driven implementations for clients.

Codify working patterns into tools, playbooks, and reusable accelerators that scale delivery efficiency.

Client-facing experience and consulting posture are essential. You are comfortable leading conversations with enterprise stakeholders, presenting your thinking, navigating ambiguity in the room, and representing PALO IT with clients directly. This is a non-negotiable requirement.

10+ years of hands-on software development experience, including delivery in consulting or client-facing environments.

Proven experience independently managing projects end to end: leading discovery, scoping, and delivery with minimal direction.

Deep full-stack, generalist expertise. Preferred technologies include ReactJS for frontend and NodeJS/Java/Python for backend development.

You are open to learning new stacks. We work across different client environments, languages, frameworks, and cloud platforms (Azure, AWS, GCP), and with AI as a learning tool, picking up something new is easier than ever. You don’t need to tick every technology box; curiosity goes a long way.

Experience building or deploying systems powered by LLMs or generative models, with an understanding of how model behaviour affects product experience.

Strong solution architecture and system design skills.

Strong understanding of common programming patterns and principles.

Excellent communication and stakeholder management skills.

Demonstrated autonomy, initiative, and ownership: you drive outcomes rather than wait for instructions.

Experience mentoring engineers or leading small delivery teams.

Enterprise delivery experience: many of our clients operate with significant process, risk, and stakeholder complexity.

Experience leading technical discovery or solution framing.

Experience with AI/ML services and frameworks.

Experience with cloud computing platforms (Azure, AWS, GCP).

Our mission is to become the most advanced consulting company when it comes to AI-First product and software engineering. 100% of our projects are focused on deploying our Gen-e2 methodology to clients to help them accelerate delivery and scale those new practices.