Website:
nextamp.com
Job details:
Job Title: Director Head of AI
Company Overview: NextAmp is a digital modernization services company focused on transforming the insurance industry. We help insurance organizations redesign workflows and build AI-powered, automated systems that improve efficiency, accuracy, and scalability. Our solutions streamline core operational areas including claims processing, underwriting, billing, and back-office operations.
Job Type: Full Time
Location: Remote, India
Role Overview:
We are hiring a Head of AI Systems & Accelerators to build the shared platform and reusable accelerators that make our engineering teams dramatically more effective.
This role is for a senior builder who has architected and delivered large, complex software systems and has now moved deeply into AI-enabled engineering and agentic solution design. You understand how enterprise systems are actually built, where delivery slows down, and how AI can be applied in a disciplined way to improve speed, quality, and repeatability.
You will own the design and build-out of our AI Execution Platform: the internal platform layer that allows us to design, run, govern, evaluate, and continuously improve AI-powered accelerators used across engineering and client delivery.
What the AI Execution Platform Is
The AI Execution Platform is the shared foundation behind how we operationalize AI across delivery.
It includes:
- Orchestration frameworks for multi-step and multi-agent workflows
- Schema and contract model for structured inputs, outputs, tool use, and agent handoffs
- Evaluation frameworks to measure quality, reliability, safety, and business correctness
- Reusable agent skills and task primitives that can be composed across use cases
- Observability, tracing, and feedback loops to understand behavior and improve performance over time
- Human-in-the-loop controls for review, escalation, exception handling, and safe production use
- Packaging patterns that turn proven workflows into reusable accelerators across teams and customers
This platform is not a chatbot or a prompt library. It is the engineering substrate for building reliable AI-enabled delivery capabilities at scale.
Key Responsibilities
- Platform Leadership
- Define the architecture and technical direction of the AI Execution Platform.
- Build the core primitives needed to support reliable AI-enabled delivery
- Establish patterns for orchestration, contracts, evaluation, observability, and control
2.Accelerator Development
- Identify repeated engineering and delivery patterns across projects
- Convert those patterns into reusable AI-native accelerators
- Ensure accelerators are robust, extensible, and usable in real production environments
3. Engineering Transformation
- Help redesign software delivery workflows with AI built in from the start.
- Improve how teams approach discovery, implementation, validation, modernization, and support.
- Create standards for effective and responsible use of AI in engineering work
4. Delivery Partnership
- Work closely with forward-deployed engineers and delivery leaders to understand real bottlenecks.
- Build capabilities that solve practical problems in live customer environments.
- Ensure platform investments translate into measurable execution leverage
5. Technical Leadership
- Lead by example as a hands-on builder • Mentor engineers working with AI-enabled development patterns.
- Raise the bar on how AI systems are designed, evaluated, and operated across the company
What We Are Looking For
- 12+ years of experience in software engineering, architecture, or platform engineering
- Strong experience designing and implementing large, complex enterprise systems
- Prior experience as a Principal Engineer, Architect, Staff+ Engineer, or equivalent technical leader
- Deep understanding of software delivery across architecture, development, testing, integration, and operations
- Hands-on experience using AI to improve real software engineering workflows
- Experience building or working with agentic systems, tool-using agents, or multi-step LLM workflows
- Strong practical understanding of structured schemas, contracts, and evaluation approaches for AI systems
- Experience designing systems that must be reliable, governable, and production-ready
Strongly Preferred
- Experience building internal developer platforms or engineering productivity tooling
- Experience with modernization, migration, or legacy transformation programs
- Experience with workflow orchestration, runtime tracing, and evaluation harnesses
- Experience in regulated or operationally demanding industries such as insurance or financial services
- Experience turning repeated project delivery patterns into reusable frameworks, templates, or accelerators
What Success Looks Like
In this role, success in 12 months looks like means:
- A functioning AI Execution Platform used across multiple teams
- Reusable accelerators adopted across projects
- Measurable improvement in engineering delivery speed
- Improved code quality and testing consistency
- Strong adoption of AI-enabled workflows across teams
Working Hours: This role requires work from 1:30pm IST – 10:30pm IST.
Click on Apply to know more.