IND - Senior Staff Engineer - AI

Hartford Global Services Private Limited; Rangareddy; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Hartford in Hyderabad, India is seeking a Lead AI Engineer to build reusable AI platforms for enterprise applications and shape our AI/ML roadmap. You will work with Python, AI/ML frameworks, and cloud AI services to deliver scalable solutions.

Responsibilities include deploying AI pipelines, model monitoring, drift detection, and CI/CD automation for AI models. A 10-15 year track record in AI/ML and strong leadership are essential.

Qualifications

• 10-15 years of software/AI experience.
• Experience building AI deployment pipelines and platforms.
• Strong design, leadership, and stakeholder management skills.

Responsibilities

• Define the AI/ML roadmap aligned with business objectives.
• Identify high-value AI use cases and opportunities.
• Design scalable AI architectures and platform solutions.
• Evaluate emerging AI technologies, tools, and frameworks.

Skills

AI deployment pipelines

Model monitoring & drift detection

CI/CD for AI models

Scalability & reliability

Tools

Docker

Kubernetes

AWS certifications

Job description

IND Senior Staff Software Engineer - GCC020 We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

Job Description

Lead AI Engineer

Location: Hyderabad, India

Employment Type: Full-Time

Experience Level: 10-15 Years

Position Overview

The Full Stack Developer will contribute to building reusable platforms and shared services in support of enterprise applications. Python, AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) Generative AI, LLMs, RAG, LangChain, Vector Databases Cloud platforms (Azure AI, AWS AI, GCP Vertex AI) MLOps (MLflow, Kubeflow, Azure ML) Data Engineering and APIs Leadership, stakeholder management, and strategic thinking.

Key Responsibilities

• Define the AI/ML roadmap aligned with business objectives.
• Identify high-value AI use cases and opportunities.
• Design scalable AI architectures and platform solutions.
• Evaluate emerging AI technologies, tools, and frameworks.

Required Skills & Experience

• Build and maintain AI deployment pipelines.
• Implement model monitoring, drift detection, and retraining strategies.
• Automate CI/CD for AI models and services.
• Ensure scalability, resilience, and operational excellence.

Nice to Have

• Experience with IDP (Intelligent Document Processing) or GenAI document platforms.
• Exposure to OCR, NLP, or machine learning workflows.
• Docker or Kubernetes knowledge.
• Relevant AWS certifications.
• Familiarity with insurance or financial industries.

What We Offer

• Collaborative work environment with global teams.
• Competitive compensation and comprehensive benefits.
• Continuous learning and growth opportunities in geospatial and risk analytics technologies.

About Us | Our Culture | What It’s Like to Work Here

Every day, a day to do right. Showing up for people isn’t just what we do. It’s who we are – and have been for more than 200 years. We’re devoted to finding innovative ways to serve our customers, communities and employees—continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it’s these values that drive all of us to do more and to do better every day.