Forward Deployed Engineer (Enterprise AI Solutions Architect)

New
India (Remote), Collaboration with global teams across US, UK, and India time zonesFull-TimeSenior
Salary0 INR per year
Apply NowOpens the employer's application page

Job Details

Experience
4–8 years of experience
Required Skills
SQLAzureProblem SolvingRESTful APIs

Requirements

  • 4–8 years of experience in solutions engineering, forward deployment, or enterprise architecture
  • Strong hands-on experience with Data integration (APIs, ETL pipelines, SQL)
  • Strong hands-on experience with Cloud platforms (Azure preferred)
  • Strong hands-on experience with Working with large, messy enterprise datasets
  • Exposure to AI/ML concepts (practical application preferred over theory)
  • Ability to work directly with global enterprise customers in a consulting capacity
  • Strong problem-solving skills with a bias toward execution
  • Excellent communication skills with the ability to engage both technical and business stakeholders
  • Experience working in forward-deployed or customer-facing engineering roles (Palantir-style FDE, solutions architect, implementation engineer)
  • Background in supply chain, manufacturing, or enterprise SaaS platforms
  • Experience building MVPs or deploying AI-driven workflows in production environments
  • Comfort operating in ambiguous, fast-moving environments

Responsibilities

  • Work directly with enterprise customers to understand business workflows, data environments, and risk challenges
  • Design scalable AI-driven solutions aligned to customer objectives and platform capabilities
  • Lead implementation of data integrations (DFI/CDIF), workflows, and AI use cases
  • Configure and deploy solutions in customer environments with speed and accuracy
  • Own time-to-value from onboarding through initial outcomes
  • Build and deliver Proof of Concepts and MVPs that demonstrate measurable business impact
  • Serve as a technical expert across customers and internal teams
  • Guide integration strategies, APIs, data models, and architecture decisions
  • Train internal teams and customers on platform capabilities, best practices, and solution design
  • Create reusable assets, playbooks, and solution templates
  • Partner with Product and Engineering to relay customer feedback and influence roadmap
  • Work closely with Implementation, Sales, and Customer teams to ensure successful adoption
View Full Description & ApplyYou'll be redirected to the employer's site
0 INR per year
Apply Now