AI Solution Architect

Who we are:

devx Labs is an AI-native consulting firm that fundamentally reimagines business operations around AI capabilities. We don’t just implement AI tools - we transform how enterprises operate through first-principles thinking and outcome-driven execution.

About the role:

As an AI Solution Architect at devx labs, you're the bridge between a client's business problem and the technical system that solves it. You lead technical discovery, design solution architectures, build engineering estimates, and shape technical strategy across our three practice areas — Customer Interactions, AI-Led Business Operations, and Enterprise Architecture. You're the person in the room who can hear "we need to modernize our customer experience" and translate it into a phased technical roadmap with clear deliverables, team composition, and timelines.

This isn't a paper architect role. You'll prototype, validate technical assumptions, and stay hands-on enough to know when an estimate is realistic and when it's fiction. You're equally comfortable in a client boardroom and a code review.

Technical Discovery & Solution Design (40%)

• Lead discovery workshops: Run technical discovery sessions with client stakeholders to understand business processes, pain points, data landscapes, and transformation goals.
• Architect AI-native solutions: Design end-to-end system architectures — covering agentic AI components (multi-agent workflows, RAG, LLM orchestration), application layers (Next.js, TypeScript, Medusa), data infrastructure (PostgreSQL, vector DBs), and cloud deployment across our partner platforms (AWS Bedrock, Gemini Enterprise / Vertex AI on Google Cloud).
• Evaluate and recommend: Assess build-vs-buy decisions, technology stack choices, model selection, and integration approaches based on client constraints and ROI.
• Create technical proposals: Produce detailed architecture documents, system diagrams, and technical narratives that win client trust and close deals.

Engineering Estimation & Planning (30%)

• Build accurate estimates: Break down complex engagements into phased delivery plans with task-level estimates across modules, roles, and timelines.
• Define team composition: Specify the right mix of AI Engineers, AI-Native Engineers, and Platform Engineers for each engagement; factor in AI-assisted productivity gains.
• Risk assessment: Identify technical risks, dependency chains, and integration complexity; build mitigation strategies into project plans.
• Scope management: Work with Practice Leaders and Outcome Managers to balance ambition with delivery reality — protecting both client outcomes and team sustainability.

Technical Leadership & Pre-Sales (30%)

• Technical credibility in sales: Join pre-sales conversations to provide technical depth, answer architecture questions, and demonstrate devx labs' engineering capability.
• POC and prototype leadership: Build rapid proofs-of-concept that validate technical feasibility and demonstrate value before full engagement commitment.
• Cross-practice knowledge: Maintain deep understanding across all three practice areas — Customer Interactions, AI-Led Business Operations, and Enterprise Architecture — to architect integrated solutions.
• Mentor and elevate: Guide Senior AI Engineers on architectural thinking, system design principles, and client communication skills.

Mindset

• Strategic architect with strong problem-solving and business acumen.
• Pragmatic, delivery-focused, and AI-first in approach.

Technical Skills

• Expertise in system architecture, cloud platforms (AWS and Google Cloud), and AI/ML solutions.
• Agentic AI engineering is a must: proven experience designing, building, and deploying agentic AI systems in production — multi-agent architectures, tool use / function calling, orchestration frameworks, agent evaluation, and the deployment/ops side (monitoring, guardrails, cost control), not just prototypes.
• Partner-ecosystem fluency: devx labs is a Gemini Enterprise Partner and an AWS Partner — hands-on experience architecting on Gemini Enterprise / Vertex AI and AWS Bedrock (or equivalent depth on one with the ability to ramp fast on the other) is expected.
• Strong knowledge of LLMs, RAG, agents, and modern application stacks.
• Hands-on experience with TypeScript, Next.js, Python, and PostgreSQL.
• Ability to create accurate estimates and scalable technical roadmaps

Client & Leadership

• Strong stakeholder communication and workshop facilitation skills.
• Trusted advisor capable of translating business needs into technical solutions.

Experience

• 7+ years in software engineering and architecture.
• 3+ years building production AI/ML systems.
• Experience delivering large-scale solutions and leading technical engagements.
• Consulting, pre-sales, or solutions architecture experience preferred.
• Proficiency with AI-assisted development tools (Claude Code, Cursor, etc.).

• AI tool credits and freedom to experiment with modern approaches.
• Performance-based appraisal at 6 months + annual appraisal cycle.
• Competitive pay with a structured CTC breakup.
• Work with clients across industries and domains.
• Hybrid model with work-from-home support and flexible working hours.
• No-cap leave policy — take time off responsibly, no fixed limits.
• Health insurance with spouse and kids coverage included.
• Yearly outings, and an open environment for innovation.