VP of Engineering

kAIgentic; Bengaluru; On-site; INR 4,000,000 - 9,000,000; Full time

Job summary

kAIgentic is seeking a senior engineering leader to define and run an AI-driven execution platform for regulated banking customers. You will own reliability, auditability, and governance across multi-LLM deployments, partnering with architects, regulators, and customers to embed the intelligence layer in bank-owned infrastructure.

You will build and lead cross-functional teams, drive deployment pipelines inside highly regulated environments, and translate evolving product requirements into a

Qualifications

• Proven expertise leading large-scale AI execution platforms with a track record of delivering high-availability, auditable systems.
• Experience delivering in highly regulated, bank-owned infrastructure with strong security and compliance.
• Ability to translate evolving product requirements into concrete engineering roadmaps and delivery cadences.

Responsibilities

• Define the engineering strategy for non-deterministic execution with five-nine reliability and resumable workflows.
• Lead deployment pipelines inside customer-owned, regulated infrastructure with strict security and compliance.
• Own governance for model and LLM decisions, implementing audit trails and policy enforcement.
• Build cross-functional teams aligning product, security, and SRE to sustain continuous delivery.
• Drive production feedback into the ontology and product roadmap with field insights.
• Align engineering processes with regulatory audit cycles, establish observability and incident response.
• Represent kAIgentic to senior customers and regulators, communicating risk mitigation and continuity plans.
• Develop talent, hiring senior engineers and creating scalable career paths.

Skills

AI leadership

Distributed orchestration

Go & Python

Bank data centers

Reliability engineering

SLO design

Incident management

Multi-LLM governance

Roadmap delivery

Regulatory compliance

Stakeholder communication

Talent leadership

Tools

Go

Python

Job description

kAIgentic is building the intelligence layer for the world's most ambitious enterprises. Headquartered in Singapore with teams in India and Japan, our software platform helps large organizations evolve as fast as technology itself by turning the tacit know-how locked inside their people into safe, governed, AI-powered operations.

The hardest part of enterprise transformation is not strategy. It is execution. Institutional knowledge lives in people's heads, systems are fragmented, and risk tolerance is low. kAIgentic captures how work actually happens, designs better workflows, and runs them inside an intelligence layer that is observable, auditable, and engineered for the most regulated environments on earth. The outcome is an enterprise that continuously improves.

We are backed by SMBC Group as our founding partner and customer zero, and our platform is already being proven inside one of the most complex, regulated operating environments in the world. That means real problems, real data, and real production impact from Day 1.

The role

Define and lead the engineering organization that delivers reliable, governed AI-driven execution for regulated banking customers. Own the end-to-end reliability, auditability, and multi-LLM governance while the product and requirements continue to evolve. Partner with architects, regulators, and customers to embed the intelligence layer inside bank-owned infrastructure.

What you'll do

• Define the engineering strategy for non-deterministic execution, ensuring five-nine reliability and resumable workflows with human-in-the-loop control.

• Lead the delivery of deployment pipelines that operate inside customer-owned, highly regulated infrastructure, meeting strict security and compliance mandates.

• Own the governance framework for model and LLM decisions, implementing audit trails and multi-LLM policy enforcement across the execution gateway.

• Build cross-functional teams that embed the intelligence layer, aligning product, security, and SRE practices to sustain continuous delivery under shifting requirements.

• Drive the feedback loop from production deployments into the ontology, translating field insights into product enhancements and roadmap inputs.

• Align engineering processes with regulatory audit cycles, establishing observability, incident response, and SLO ownership that satisfy banking auditors.

• Represent kAIgentic to senior customer and regulator stakeholders, articulating technical risk mitigation and continuity plans.

• Build the org’s talent pipeline, hiring senior engineers and establishing career paths that scale with the growing execution platform.

What you'll bring

• Proven expertise leading large-scale AI execution platforms with a track record of delivering high-availability, auditable systems.

• AI-native velocity as a default mode of working

• Deep mastery of distributed workflow orchestration, durable execution engines, and LLM integration, with hands-on experience in Go and Python.

• Extensive knowledge of deployment architectures inside bank-owned data centers, including network segmentation, zero-trust security, and compliance-by-design.

• Strong background in reliability engineering, SLO design, incident management, and building observability for multi-tenant, high-throughput environments.

• Experience shaping governance models for multi-LLM ecosystems, defining policy enforcement, audit logging, and model lifecycle controls.

• Ability to translate ambiguous, evolving product requirements into concrete engineering roadmaps and delivery cadences.

• Strategic judgment to balance speed of AI-native development with rigorous regulatory constraints, communicating clearly with both technical and non-technical audiences.

• Demonstrated skill in building high-performing engineering organizations, hiring senior talent, and fostering a culture of ownership and continuous improvement.

Why join kAIgentic?

We are a global team of builders who thrive in ambiguity, care deeply about the customers we serve, and believe the intelligence layer is how enterprise work will be reshaped over the next decade. We are building the connective tissue that lets large companies operate with the speed of a startup and the trust of an institution.

We look for people who:

• Combine technical excellence with genuine customer empathy.

• Are entrepreneurial and energized by zero-to-one problems with no playbook.

• Lead with ownership, integrity, and collaboration, not titles.

• Want to help define a new category of enterprise AI, not just ship inside an existing one.

• Working here means being surrounded by peers who challenge assumptions, celebrate progress, and build with both courage and care.

Life at kAIgentic

• Intelligence layer at the core. You will be shaping the substrate that turns institutional knowledge into governed, production-grade operations. This is enterprise infrastructure with real consequences.

• Innovation at enterprise scale. Startup velocity meets the depth, scale, and stakes of mission-critical, regulated environments. Both are non-negotiable.

• Ownership from Day One. Your work directly shapes the product, the culture, and the outcomes our customers see.

• Learning and growth. You will work alongside seasoned leaders from leading enterprises who have built and scaled global businesses.

• A culture of trust. Psychological safety, transparent disagreement, and disciplined experimentation are how we operate, not slogans on a wall.

• Global collaboration. Teams across Singapore, India, Japan, Europe, and the US, working as one.

• A mission worth the effort. Building something the world has not seen before: anintelligence layer that helps enterprises continuously improve how they run.