Senior Forward Deployed Engineer
Harnham
Washington, DC · Posted November 3, 2026
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November 2026
- #1Cities hosting the most business conferences in the Mid-Atlantic104 conferences · of 12
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- #2Best cities for sales pay after cost of living$169k · of 45
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
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Senior Forward Deployed Engineer Washington, DC (Hybrid) $200,000 – $250,000 + Bonus + Equity This is an opportunity to join a high-growth AI organisation solving complex real-world challenges through advanced machine learning and software engineering. You’ll work at the intersection of AI, infrastructure, and product delivery, taking ownership of critical systems that move rapidly from concept to production.
The Company They are a venture-backed technology business focused on building and deploying next-generation AI solutions. Operating in a fast-paced and highly technical environment, they partner with sophisticated organisations to solve large-scale operational challenges using modern machine learning techniques. Their team is made up of experienced engineers, researchers, and product specialists working on some of the most exciting applications of AI today.
The Role As a Senior Forward Deployed Engineer, you will lead the design, development, and deployment of production-grade AI systems. You will work closely with stakeholders to understand complex requirements and translate them into scalable, reliable solutions. Key responsibilities include:
Designing and deploying AI applications from prototype through to production
Building LLM-powered products, agentic workflows, and retrieval-augmented systems
Developing data pipelines, evaluation frameworks, and model improvement processes
Designing infrastructure to support experimentation, inference, deployment, and monitoring
Driving architectural decisions across business-critical projects
Collaborating with technical and non-technical stakeholders to deliver impactful solutions
Ensuring system reliability, scalability, security, and performance
Providing technical leadership and mentoring engineers across the team
Your Skills & Experience
Strong commercial software engineering experience delivering complex production systems
Advanced Python development skills with a track record of technical ownership
Experience building and deploying LLM, generative AI, or machine learning applications
Strong understanding of data engineering, model evaluation, and scalable infrastructure
Experience working with cloud platforms and distributed systems
Ability to navigate ambiguity and solve challenging technical problems independently
Excellent communication skills with the ability to engage a range of stakeholders
Experience operating within highly regulated or technically demanding environments is advantageous
What They Offer
Base salary of $200,000 – $250,000
Performance-related bonus
Equity participation programme
Comprehensive healthcare support
Retirement savings plan with employer contributions
Generous paid time off
Flexible hybrid working environment
Exposure to cutting-edge AI and machine learning technologies
Significant ownership, autonomy, and career progression opportunities
How to Apply If you’re interested in building and deploying advanced AI systems at scale, please apply with your CV for a confidential discussion.
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