AI Engineering Lead -Kochi-Bangalore-Fulltime

AI Engineering Lead -Kochi-Bangalore-Fulltime

Position: AI Engineering Lead

Company: ART Technology & Software India Pvt Ltd
Location: Kochi / Bangalore (Remote)
Experience: 8+ Years
Employment Type: Full-Time
Reporting To: CEO

We are looking for a bold, hands-on AI leader who can own our AI strategy, build world-class AI products and services, and inspire a high-energy engineering team — all while staying curious, collaborative, and deeply technical. This is not a title. It's a mission

About the Role
You will lead a growing, multi-disciplinary AI engineering team, shape the agent and platform architecture roadmap, and work directly with clients to co-create AI-powered solutions that deliver measurable business impact.
This role sits at the intersection of engineering, product thinking, and business strategy. You will be the go-to voice for AI inside Artech and in front of clients.

Key Responsibilities
AI Strategy & Vision
● Identify emerging AI technologies, frameworks, and models (LLMs, agents, RAG, multimodal) and assess their applicability to our service portfolio.
● Establish AI governance principles covering model usage, token optimization, cost management, and responsible AI practices.
Team Leadership & Culture
● Lead, mentor, and grow the AI engineering team (currently comprising AI engineers, FDEs, and platform specialists across Kochi and Bangalore).
● Foster a high-agency, experiment-first culture where engineers feel empowered to build, break, and iterate fast.
● Drive peer-led AI upskilling programmes; elevate the entire org's AI maturity, not just the core AI team.
● Define career tracks and performance expectations for AI engineers, including the Forward Deployed Engineer (FDE) programme.
Product & Platform Delivery
● Lead end-to-end delivery of AI-powered products: agentic platforms, compliance automation, KYB/KYC pipelines, FinOps dashboards, and client-facing AI portals.
● Evaluate and integrate third-party AI platforms (e.g., Lyzr Agent Studio, AWS Bedrock, Anthropic Claude API) and make strategic build-vs-buy decisions.
● Ensure AI solutions are production-grade scalable, observable, secure, and cost-efficient.
● Set quality standards, review architectures, and be the final bar-raiser on technical decisions.
Client & Commercial Engagement
● Act as a trusted AI advisor to key clients — co-design solution blueprints, run discovery workshops, and present roadmaps at CXO level.
● Support pre-sales and proposal teams with AI-led propositions, effort estimates, and proof-of-concept scoping.
What We're Looking For
Must-Haves
● 8+ years of overall experience, with at least 3–4 years in AI/ML engineering or AI product leadership.
● Hands-on proficiency with LLMs and agent frameworks (LangChain, CrewAI, Lyzr, AutoGen, or similar); you must be able to build alongside your team.
● Deep understanding of prompt engineering, RAG architectures, vector databases, and model evaluation.
● Experience shipping AI products to production, not just prototypes or internal tools.
● Strong stakeholder communication skills — you can translate complex AI concepts to non-technical audiences effortlessly.
● Demonstrated ability to hire, grow, and retain high-performing engineering teams.
● Proven track record of delivering within budget and timelines in a services or product environment.
Nice-to-Haves
● Domain experience in fintech, payments, or regulated industries.
● Familiarity with AI governance, responsible AI, or enterprise AI compliance frameworks.
● Experience with cloud AI services on AWS (Bedrock, SageMaker) or Azure (OpenAI Service).
Education & Pedigree
We welcome exceptional talent from any background, but we have a strong preference for candidates from India's premier technical institutions.
Equivalent experience considered: Outstanding self-taught or non-traditional engineers with a compelling portfolio of shipped AI products will be considered on merit.
Why Artech
● Work at the frontier — we build with Anthropic Claude, Lyzr, AWS Bedrock, and emerging agent frameworks before they go mainstream.
● Real ownership — you set the AI vision; the CEO and CTO back you to execute it.
● A team that learns together — structured AI upskilling, FDE tracks, and a culture of knowledge sharing.
● Hybrid flexibility
● Competitive compensation benchmarked to the market, with scope for performance-linked incentives.