Claude Transformation Engineer

Altimetrik; Devanahalli, Bengaluru; Hybrid; INR 1,800,000 - 3,400,000; Full time

Job summary

Altimetrik in India is seeking a senior AI adoption lead to drive production-grade LLM initiatives, with a strong focus on Claude and related APIs. You will partner with engineering, risk, product, and operations teams to design scalable enablement programs and measure adoption across the organization.

The role requires deep software skills (Python, TypeScript/Node.js) and API integration capabilities, plus a practical understanding of data security and PCI DSS compliance to govern responsible

Qualifications

• 8+ years overall experience with 3+ years in software/solutions engineering or transformation roles.
• Hands-on production experience building with LLMs; Claude API focus or equivalent.
• Proven track record scaling tool adoption across large organizations.
• Strong Python and/or TypeScript/Node.js, REST/GraphQL, and third-party API integrations.
• Understanding of data security and PCI DSS compliance.
• Excellent stakeholder communication for technical and non-technical audiences.

Skills

Claude API

LLMs in production

Python

TypeScript/Node.js

REST/GraphQL

API integration

PCI DSS

Stakeholder comms

AI adoption

Enablement programs

Job description

Required Qualifications

• 8+ years of overall experience, including at least3+ years in software engineering, solutions engineering, or a technical transformation/automation role, ideally within payments, fintech, banking, or another regulated financial environment.
• Hands-on experience building with LLMs in production - direct experience with the Claude API (or comparable experience with GPT/Gemini APIs and a strong willingness to specialize in Claude) including tool use, structured outputs, and context/prompt engineering.
• A demonstrated track record of scaling technical tool adoption across a large organization. This matters more than payments domain knowledge. Evidence of designing enablement programmes, champion networks, training curricula, or adoption metrics, not just shipping one tool for one team.
• Strong software engineering fundamentals: proficiency in Python and/or TypeScript/Node.js, REST/GraphQL API design, and experience integrating third-party APIs into production systems.
• Practical understanding of data security and compliance constraints relevant to financial services (PCI DSS, data minimization, access controls, audit logging).
• Excellent stakeholder communication - able to explain AI capabilities and limits clearly to both engineers and non-technical operations/risk stakeholders.

Preferred Qualifications

• Experience running an internal AI adoption or AI Center of Excellence function at scale, ideally with a visible track record similar to enablement-led (rather than build-led) transformation programmes.
• Experience with agentic workflows, RAG architectures, or MCP (Model Context Protocol) integrations.
• Familiarity with Claude Code, Claude in various IDEs, or other AI-assisted development tooling.
• Experience with evaluation frameworks for LLM output quality, safety, and reliability.
• Familiarity with commit-data-driven visibility into engineering delivery.