Senior Director

The Hartford India

Hyderabad

On-site

INR 4,000,000 - 7,000,000

Full time

8 hours ago

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Benefits offered by this job

Competitive compensation

Global exposure

Leadership growth opportunities

Job summary

The Hartford India seeks a visionary Sr. Director – Engineering to lead global full stack engineering and AI platform teams, driving enterprise-grade digital platforms and AI-powered solutions across domains.

Partnering with U.S.-based leadership, you will embed AI into the software delivery lifecycle, scale engineering capabilities, and establish governance and controls across geographies. A hands-on yet strategic executive role with global impact.

Qualifications

14–18 years of senior software leadership experience.
Experience leading large-scale Java Full Stack or .NET teams.
Proven AI and agentic AI team leadership in enterprise.
Experience building GCCs or global hubs.

Responsibilities

Define global vision for engineering and AI platforms.
Oversee end-to-end delivery of enterprise platforms and APIs.
Lead AI governance, security, and compliance.
Develop leadership benches and talent strategy.

Skills

Full Stack leadership

AI leadership

Agentic AI

Global scale

Java / .NET

Angular / React

Cloud-native

Leadership mentoring

Tools

Copilot

LLM Tools

Job description

We are seeking a visionary and technically accomplished Sr. Director – Engineering to lead Full Stack engineering along with AI and Agentic AI platform teams at our The Hartford India.

This executive leadership role will be responsible for building and scaling global specialty engineering teams delivering enterprise-grade digital platforms, shared services, and AI‑powered solutions, including agentic AI systems, across multiple business domains globally.

The ideal leader brings deep full‑stack engineering expertise, a strong AI-first mindset, and hands‑on experience leading AI and autonomous agent teams. The role partners closely with U.S.-based Engineering, Architecture, Product, and AI leadership to embed AI into the software delivery lifecycle, improve developer productivity, and accelerate intelligent automation at scale.

Key Responsibilities

Strategic Leadership, AI Vision & Platform Direction

Partner with U.S.-based engineering, platform, and AI leaders to align Global Specialty and AI delivery with enterprise technology and AI strategies.
Define and own the Global Specialty Engineering and AI vision, including agentic AI architecture patterns, governance, and operating models.
Establish a scalable India-based global specialty model integrating:
Full Stack Engineering (Java or .NET)
Agentic AI & Autonomous Systems
Drive AI-first engineering strategies, embedding intelligence into customer-facing applications, internal platforms, and SDLC processes.
Champion responsible AI, explainability, governance, and enterprise-grade AI controls.

Technology Delivery & Engineering Excellence

Own end-to-end delivery of enterprise platforms, AI-powered applications, APIs, and microservices.
Ensure consistent execution across architecture, development, testing, deployment, support, and AI lifecycle management.
Drive cloud-native architectures, event-driven systems, and API-first design integrated with AI services.
Lead platform modernization, AI-driven re-engineering, and legacy transformation initiatives.
Embed AI into application monitoring, incident management, testing, and code quality processes.

AI & Agentic AI Leadership (Core Accountability)

Build, lead, and scale AI and Agentic AI engineering teams delivering:
Autonomous agents
Workflow orchestration agents
Multi-agent systems
Decisioning and reasoning-based solutions
Oversee design and delivery of agentic AI systems integrated with enterprise applications, APIs, data platforms, and cloud services.
Drive adoption of LLMs, RAG architectures, tool-using agents, and orchestration frameworks.
Ensure AI solutions are:
Secure
Scalable
Auditable
Aligned with enterprise risk and compliance standards
Lead AI platform enablement for use cases across product engineering, operations, developer productivity, and business automation.

People Leadership & Talent Strategy

Build, mentor, and retain high‑performing global specialty engineers and AI professionals.
Create strong leadership benches including Engineering Managers, Architects, Principal Engineers, and AI Lead roles.
Develop structured talent paths for:
Full Stack Engineers
Agentic AI Engineers
Foster a culture of innovation, experimentation, accountability, and continuous learning.
Promote cross‑pollination between core engineering and AI teams.

Operational Excellence & Governance

Own delivery governance including capacity planning, budgeting, risk management, and AI governance processes.
Lead effective incident and problem management, including AI system failures and model performance issues.
Contribute to monthly operating reviews, AI scorecards, productivity dashboards, and executive metrics.
Ensure adherence to enterprise security, compliance, data privacy, and responsible AI standards.

Stakeholder Engagement & Global Collaboration

Act as a strategic partner to global business, product, platform, and AI leadership.
Serve as the primary bridge between India-based engineering & AI teams and global stakeholders.
Drive transparency, alignment, and execution consistency across geographies.

Required Skills & Experience

14–18 years of progressive experience in software engineering and senior technology leadership roles
(Please specify total years of experience)
Demonstrated experience leading large‑scale Java Full Stack or .NET Full Stack engineering organizations in global environments.
Proven experience building and managing AI and Agentic AI teams in enterprise settings.
Experience scaling Global Capability Centres (GCCs) or shared engineering hubs.

Technical Expertise (Expert Level)

Full Stack Engineering