Fractal · 3 days ago
Forward Deployed Engineer
New York, United States
Full-time
Hybrid
Mid, Senior Level
$120K/yr - $300K/yr
3+ years expFractal is a company dedicated to customer focus and passion for their work. As a Forward Deployed Engineer, you will be the frontline engineer, embedding with strategic customers to understand their business problems and deploy solutions that enhance customer outcomes through AI/ML-powered workflows and production systems.
AnalyticsArtificial Intelligence (AI)Big DataBusiness IntelligenceConsulting
Responsibilities
Own the technical success of deployments for a portfolio of strategic customers – from discovery and design through go-live and scale-out
Translate ambiguous customer goals (“reduce manual review time”, “improve CS efficiency”, “cut claim processing costs”) into concrete technical roadmaps and implementation plans leveraging and extending our platform and products
Define and track deployment KPIs (latency, accuracy, throughput, adoption, business impact) and continuously tune systems to hit them
Design and implement full-stack solutions: backend services, data pipelines, integrations, and customer-facing assistants and workflows
Build and harden production AI systems – including LLM- and agent-based workflows, knowledge pipelines, and domain-specific orchestration
Integrate with customer infrastructure (APIs, data warehouses, identity, CRM/ERP, internal services) across one or more major clouds
Own deployment lifecycles: proofs-of-value, pilots, phased rollouts, and post-go-live stabilization
Debug gnarly production issues in unfamiliar environments, often under tight time pressure, and drive them to root cause and fix
Establish monitoring, observability, and runbooks so customers can operate solutions with confidence
Work side-by-side with customer engineers – pairing on code, reviewing designs, and guiding architecture decisions
Communicate trade-offs clearly to non-technical stakeholders and help them make informed decisions without drowning them in jargon
Influence customer teams to adopt best practices for AI, data, and software delivery – even when it means challenging their current approach
Bring structured feedback from the field back into our product and engineering roadmap: common integration patterns, missing features, recurring edge cases, and opportunities to productize bespoke work
Help shape our forward deployed playbook: reusable templates, reference architectures, example repos, and internal tooling that make future deployments faster and more repeatable
Qualification
Required
Technical depth (you're an engineer first)
3–10 years of professional software engineering experience building and operating production systems
Strong coding skills in Python plus experience with TypeScript/JavaScript or another modern language; comfortable working full-stack when needed
Hands-on experience with at least one major cloud provider (AWS, GCP, or Azure), and with containers/orchestration (Docker, Kubernetes or equivalent)
Practical experience with modern AI/LLM tooling: building agentic workflows, RAG pipelines, or integrating LLMs into real products
Comfortable reading other people's codebases quickly and making safe changes in unfamiliar environments
Proven track record working directly with customers or stakeholders to deliver complex technical projects (consulting, implementation, solutions/field engineering, or similar)
Excellent communication skills – you can explain technical constraints and risks to a VP in plain language without oversimplifying
High ownership and collaboration mindset even while owning your informed opinions
Bias to action: you're comfortable moving from rough requirements to working prototypes quickly, then iterating in front of real users
Ability to operate in ambiguous, changing environments – switching between customers, industries, and tech stacks without losing momentum
Willingness to travel periodically to embed on-site with key customers when it materially accelerates deployment success
Preferred
Experience deploying systems in regulated or complex industries (financial services, government/defense, healthcare, insurance, energy, etc.)
Background in startups or growth-stage companies where every deployment materially influenced product direction
Benefits
Health, dental, vision, life insurance, and disability plans
Participate in the Company 401(k) Plan after 30 days of employment
11 paid holidays
12 weeks of Parental Leave
Free time PTO policy
Company
Fractal
Fractal is an AI firm with the aspiration to power every human decision in theenterprise.
1001-5000 employees
H1B Sponsorship
Fractal has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (64)
2024 (51)
2023 (55)
2022 (77)
2021 (51)
2020 (49)
Funding
Current Stage
Late StageTotal Funding
$862.67MKey Investors
Srikanth VelamakanniTPG Capital AsiaApax Partners
2025-07-15Secondary Market· $172M
2025-07-12Undisclosed· $5.67M
2022-01-05Private Equity· $360M
Leadership Team
Pranay Agrawal
Co-founder and Chief Executive Officer
Srikanth Velamakanni
Co-Founder, Group Chief Executive and Vice Chairman
Recent News
2026-01-03
2025-12-21
2025-12-05
Company data provided by crunchbase