Forward Deployed Engineer / Solutions Architect

Ovii's Interpretation of the Role

The Forward Deployed Engineer / Solutions Architect partners directly with enterprise customers to design, build, and ship production‑grade AI solutions on Deccan AI's platforms. The role blends deep technical implementation with architecture design, code development, and ongoing support.

Role Snapshot

• Customer‑facing solution delivery
• End‑to‑end technical ownership
• AI/ML systems design & implementation
• Cloud‑based data pipeline engineering
• Production‑grade code development
• Cross‑functional stakeholder communication

Must-Have Requirements

• Python or modern backend language
• AWS/GCP/Azure cloud platform
• Data pipelines
• API integration
• LLM‑based system experience (prompting, RAG, agentic workflows)
• Production‑grade coding
• Excellent communication
• software engineering
• solutions architecture
• AI/ML systems
• cloud deployment
• data pipelines

Nice-to-Have Signals

• Forward‑deployed engineering or solutions engineering background
• Experience building evaluation systems for AI agents or LLMs
• Familiarity with human‑in‑the‑loop workflows
• Startup (0‑to‑1) experience
• forward‑deployed engineering
• technical consulting
• evaluation systems
• human‑in‑the‑loop workflows
• startup environment

Work Setup

• Travel: Travel to customer sites and occasional cross‑timezone work
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Education requirement
• Certifications
• Relocation
• Notice period
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Embed with enterprise customers to gather requirements, design, and build AI solutions on Helix/EnterpriseOS.
• Develop and deploy production‑grade code, data pipelines, and agent architectures on a major cloud platform.
• Create reusable tooling and accelerators that accelerate future deployments.
• Serve as the technical liaison, feeding field insights back into product and platform roadmaps.
• Diagnose and resolve issues in live, high‑stakes AI deployments under time pressure.
• Present architecture, trade‑offs, and rollout plans to engineering and executive stakeholders.
• Travel to customer sites and coordinate across time zones as needed.

Good Fit If You Have

• Prior forward‑deployed or technical consulting experience in AI/ML or enterprise software.
• Familiarity with human‑in‑the‑loop AI workflows and production monitoring.
• Startup background, especially early‑stage (0‑to‑1) product building.