AI Native Technical Lead

Job Description v2.0

We are seeking an AI-Native Technical Lead to drive the delivery of next-generation software products through AI-powered engineering practices, rapid product development, and high-performing cross-functional teams.

This role goes beyond traditional software leadership. You will be responsible for leading teams that leverage AI as a force multiplier across the entire software development lifecycle-from product discovery and architecture design to implementation, testing, deployment, and operations.

As a Technical Lead, you will champion AI Harness Engineering: the systematic integration of AI agents, copilots, automation workflows, and AI-powered development practices into engineering processes to achieve 10x productivity, faster time-to-market, and superior product quality.

Responsibilities:

Lead Development Team: Provide technical leadership and mentorship to engineers, fostering a culture of continuous learning, innovation, and AI adoption.

Rapid Product Development: Lead rapid prototyping, MVP delivery, and iterative product development using AI-assisted workflows and customer feedback loops.

AI Harness Engineering: Design and implement AI-powered development workflows, including AI-assisted coding, testing, documentation, code reviews, and engineering automation.

Project Planning and Management: Collaborate with project managers and stakeholders to define scope, priorities, timelines, and resource allocation.

Technical Oversight: Oversee all technical aspects of software projects, ensuring adherence to engineering standards, best practices, security, and quality.

Solution Design and Implementation: Design and implement scalable, secure, cloud-native architectures that are AI-ready and maintainable.

Collaboration: Work closely with Solutions, Product, Design, and Business teams to develop technology solutions that meet business objectives.

Issue Resolution: Lead investigation and resolution of technical challenges, balancing immediate fixes with long-term architectural improvements.

Manage Technical Debt: Identify, track, and prioritize technical debt while maintaining delivery velocity.

Performance Evaluation: Conduct performance reviews, coaching, and career development planning for engineering team members.

Policy and Standards Implementation: Implement engineering standards, AI governance practices, company policies, and OKRs.

Onboarding: Onboard and mentor newly hired engineers and enable them to effectively utilize AI-native development workflows.

Minimum Qualifications

Hands-on experience in frontend, backend, and cloud infrastructure development with a strong understanding of the full software delivery lifecycle.

Experience leveraging AI tools and automation to improve engineering productivity and delivery outcomes.

Qualifications:

Minimum of 5 years in software engineering, with at least 3 years in a Technical Lead, Engineering Lead, or similar leadership role.

Proven ability to lead high-performing engineering teams and deliver complex software solutions.

Strong experience building scalable, distributed, and cloud-native systems.

Deep understanding of modern software architecture patterns, including Clean Architecture, Microservices, Event-Driven Architecture, DDD, and CQRS.

Experience implementing DevOps practices including CI/CD, Infrastructure as Code, observability, and automation.

Expertise with cloud platforms (AWS preferred), containerization (Docker), orchestration (Kubernetes), and serverless technologies.

Experience with AI-assisted software development, prompt engineering, agentic workflows, AI copilots, or AI platform integration is highly preferred.

Strong communication, leadership, problem-solving, and stakeholder management skills.

Ability to balance engineering excellence, rapid product delivery, and business outcomes in a fast-paced environment

Detailed Expectation

AI-Native Engineering Leadership

Lead and mentor a team of software engineers operating in an AI-first development environment.

Establish AI-assisted engineering practices that maximize developer productivity while maintaining high quality and security standards.

Foster a culture of experimentation, innovation, continuous learning, and responsible AI adoption.

Coach engineers on effective AI utilization, prompt engineering, agent workflows, and AI-augmented software development.

Rapid Product Development

Lead rapid product development initiatives, enabling teams to move from idea to production in days or weeks rather than months.

Drive iterative product delivery through rapid prototyping, MVP development, customer feedback loops, and continuous experimentation.

Leverage AI tools to accelerate:

Product discovery

Requirements generation

Technical design

Code implementation

Testing and QA

Documentation

Release management

Collaborate closely with Product Managers, Designers, and Business Stakeholders to rapidly validate ideas and deliver business outcomes.

AI Harness Engineering

Design and implement AI Harnesses that orchestrate AI tools, agents, workflows, and human oversight throughout the software delivery lifecycle.

Establish engineering standards for:

AI-assisted coding

Multi-agent development workflows

Automated code review

AI-generated testing

AI-powered documentation

AI-assisted debugging and incident response

Evaluate and adopt emerging AI technologies to continuously improve team effectiveness.

Define governance frameworks ensuring AI outputs remain secure, reliable, auditable, and aligned with business objectives.

Technical Architecture & Solution Design

Own technical architecture decisions for complex enterprise and product platforms.

Design scalable, secure, resilient, and AI-ready systems.

Lead architectural reviews and ensure adherence to engineering best practices.

Drive adoption of:

Clean Architecture

Domain-Driven Design (DDD)

Event-Driven Architecture

CQRS

Microservices

API-First Design

Cloud-Native Architectures

Ensure systems are designed to support future AI capabilities and intelligent automation.

Engineering Excellence

Establish and maintain high engineering standards across development teams.

Ensure implementation of:

CI/CD pipelines

Automated testing

Infrastructure as Code

Security-by-Design

Observability and Monitoring

Manage technical debt proactively and balance speed with long-term maintainability.

Drive engineering productivity through automation and AI-enabled workflows.

Team Development & Talent Growth

Conduct performance evaluations, coaching, and career development planning.

Identify and develop future technical leaders within the organization.

Lead onboarding and enablement of new engineers.

Promote a culture of ownership, accountability, and continuous improvement.

Cross-Functional Collaboration

Partner closely with Product, Solutions, Design, Data, AI, and Business teams.

Translate business goals into scalable technical solutions.

Provide technical leadership during pre-sales, solution design, and client engagements when needed.

Communicate technical strategy effectively to both technical and non-technical stakeholders