Sr Architect - AI Architect

Gartner; Chennai; Hybrid; INR 25,00,000 - 35,00,000; Full time

Job summary

A leading technology and research company in Chennai is seeking a Senior Architect (AI/ML/Data) to design and implement robust AI solutions. This role requires 12-15 years of experience in AI techniques, strong leadership, and collaboration skills. Responsibilities include leading deployments and ensuring compliance with industry standards. The position offers a competitive salary in a hybrid work environment with excellent growth opportunities.

Benefits

Competitive compensation

Flexible working environment

World-class benefits

Qualifications

• 12-15 years of experience in classic AI techniques.
• 1.5 years in generative AI techniques at production level.
• Proven track record of leading cross-functional teams.

Responsibilities

• Design and implement AI/ML solutions for enterprise environments.
• Lead the deployment of machine learning models and analytics platforms.
• Collaborate with stakeholders to understand requirements.

Skills

AI techniques

Generative AI techniques

Collaboration

Python

Cloud platforms (Azure/AWS)

Agile methodology

Communication

Tools

Pandas

Scikit-Learn

Numpy

Scipy

Jira

GitHub

Job description

About Gartner IT

Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team.

Overview

About this role: Senior Architect (AI/ML/Data) with experience architecting scalable, robust, and secure data and AI/ML solutions for enterprise environments. This role requires strong leadership, strategic vision, and hands-on technical skills to drive innovation and deliver business value through advanced analytics and intelligent systems.

Responsibilities

• Deliver client engagements that use AI rapidly, in a few weeks.
• Build proofs of concept rapidly to learn and adapt to changing market needs.
• Support building internal applications for use by associates to improve productivity.
• Design, architect, and oversee the implementation of end-to-end AI/ML and data solutions, ensuring scalability, reliability, and security.
• Lead the development and deployment of machine learning models, data pipelines, and analytics platforms.
• Collaborate with business stakeholders to understand requirements and translate them into technical architectures.
• Evaluate and select appropriate technologies, tools, and frameworks for data engineering, machine learning, and AI initiatives.
• Guide and mentor data scientists, engineers, and other team members in best practices and technical excellence.
• Ensure compliance with data governance, privacy, and regulatory requirements.
• Develop strategies for data acquisition, storage, processing, and visualization.
• Optimize existing systems for performance, cost, and maintainability.
• Stay abreast of emerging trends in AI, ML, data engineering, and cloud technologies.
• Present architectural solutions and roadmaps to senior leadership and business stakeholders.

Qualifications

What you’ll need: 12-15 years of experience in classic AI techniques and at least 1.5 years in generative AI techniques at production level. Demonstrated ability to run short development cycles and solid grasp of building software in a collaborative team setting.

Must have

• Experience building applications for knowledge search and summarization, frameworks to evaluate and compare performance of different GenAI techniques, measuring and improving accuracy and helpfulness of generative responses, implementing observability.
• Design, architect, and oversee implementation of end-to-end AI/ML and data solutions, ensuring scalability, reliability, and security.
• Lead the development and deployment of machine learning models, data pipelines, and analytics platforms.
• Optimize existing systems for performance, cost, and maintainability.
• Experience with agentic AI frameworks, RAG, embedding models, vector DBs.
• Experience working with Python libraries like Pandas, Scikit-Learn, Numpy, and Scipy.
• Experience deploying applications to cloud platforms such as Azure and AWS.
• Solid grasp of building software in a collaborative team setting - use of agile scrum and tools like Jira / GitHub.
• Proven track record of leading cross-functional teams and delivering complex projects.
• Excellent problem-solving, communication, and stakeholder management skills.

Who you are

• Excellent written, verbal, and interpersonal communication skills with the ability to present technical information clearly to IT leaders and business stakeholders.
• Effective time management skills and ability to meet deadlines.
• Excellent communication skills when interacting with technical and business audiences.
• Excellent organization, multitasking, and prioritization skills.
• Willingness and aptitude to embrace new technologies and master concepts rapidly.
• Intellectual curiosity and passion for technology and keeping up with new trends.
• Delivery of project work on-time within budget with high quality; demonstrated ability to run short development cycles.

Don’t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles.

Gartner is an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation by contacting Human Resources.

Who are we?

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

What makes Gartner a great place to work?

Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast market potential ahead of us, providing you with an exciting trajectory long into the future. We hire remarkable people who collaborate and win as a team. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why Gartner is recognized worldwide as a great place to work.

What do we offer?

Gartner offers world-class benefits, highly competitive compensation, and rewards for top performers. In our hybrid work environment, we provide flexibility and support for you to thrive — working virtually when productive and collaborating in a vibrant community.

Ready to grow your career with Gartner? Join us.

Policy: Gartner is an Equal Employment Opportunity employer. The company provides accommodations to applicants and employees with disabilities as needed.