AI Solutions Architect

Key Responsibilities (Time Allocation)

• Solutions Discovery & Scoping (25-30%): Lead discovery, map workflows, identify pain points, document technical environments, and assess feasibility.
• Solution Architecture & Design (20-25%): Design custom architectures, create technical diagrams, and develop/present technical proposals.
• Proof-of-Concept Development (20-25%): Build working POCs with production-quality code, integrate with customer systems, and iterate based on feedback.
• Technical Leadership (10-15%): Own the technical win, provide expertise, and build customer confidence.
• Delivery Handoff & Support (20-30%): Scope size and composition of delivery team. Transfer context to the delivery team, support kickoff, and monitor critical phases.
• Product Feedback Loop (5-10%): Identify solution gaps, propose new Solution Packages, and share competitive intelligence.
• Indicative Time Allocation: 60-70% Pre-Sales; 20-30% Delivery Handoff; 5-10% Feedback.
• Success Metrics: POC wins, clear scoping, successful handoffs, influenced pipeline ($1M-$2M at 6 months), and contribution to Solution Package playbooks.

Required Qualifications

• 5-10 years software engineering, 3+ years customer-facing technical roles, proven pre-sales track record.
• Technical Skills: Full-stack engineering, deep experience in Cloud (AWS, GCP, or Azure), System Architecture, API Development, Data Engineering, DevOps (CI/CD, Docker/K8s), and AI/ML fundamentals (preferred).
• Customer-Facing: Executive presence, technical credibility, strong communication, structured problem-solving, and negotiation skills.

Preferred Qualifications

• Experience in top consulting/boutique tech firms
• Startup/scale-up,
• Domain expertise (one or more of FinTech, SaaS, Healthcare, etc.),
• AI solutions (LLM/RAG), and industry certifications.…