AI Technical Strategist at Red River

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

30 Dec, 25

Salary

0.0

Posted On

01 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Technical Strategy, Software Engineering, Programming Skills, LLMs, Retrieval Augmented Generation, MLOps, Model Evaluation, Data Analysis, Predictive Analytics, Data Pipeline Management, OpenShift, PaaS Technologies, Data Reliability, Cross-Functional Collaboration, User Feedback Metrics, Analytical Projects

Industry

IT Services and IT Consulting

Description

About the Job The Red Hat Experience Engineering (XE) team is looking for a skilled AI Technical Strategist/Software Engineer with excellent programming skills, deep familiarity with LLMs including practical experience with retrieval augmented generation (RAG) and agentic AI approaches. Must have hands-on experience in robust model evaluation, MLOps best practices and deployment, and the ability to partner with internal stakeholders. To be successful in this role, you should have an established set of foundational technical skills and the ability to learn quickly as we modernize platforms and tooling to demonstrate an AI-first approach. You will be accountable for helping to shape our technical strategy for implementing AI and related solutions across the XE business. You’ll play a key role in early prototyping of solutions, performing data and model exploration, and connecting across multi-disciplinary teams to understand problem statements and feasibility. You likely have experience using analytics packages, translating and manipulating large datasets, and creating and maintaining software and tools that deliver meaningful impact and measurable value. This role is based in our Pune, India office and requires overlap with US East Coast working hours. What will you do: Partner with product management and stakeholders to define, instrument, and track value-centric metrics (e.g., user feedback scores) that connect AI system performance directly to business KPIs. Help establish and refine the operational playbook for AI evaluation, including contributing to failure mode taxonomies, qualitative evaluation processes, and go/no-go shipping criteria. Work closely with team members and stakeholders to turn business problems into analytical projects, translated requirements, and solutions. Translate large volumes of raw, unstructured data into actionable insights. Manage data pipelines for predictive analytics modeling, model lifecycle management, and deployment. Recommend ways to improve data reliability, efficiency, and quality Help create, maintain, and implement tools, libraries, and systems to increase the efficiency and scalability of the team. What will you bring: Ability to move from a business problem to a data-driven hypothesis and then design, implement and analyze experiments to improve system performance. Relentless curiosity to continuously evaluate systems for weakness and a methodical approach to identify, classify and prioritize failure modes based on user and business impact. Proven experience in translating large, unstructured datasets into actionable insights and creating high-quality data for system improvement and evaluation. Possess a strong bias for action and grit to navigate ambiguity, learning and adapting quickly to drive projects from prototype to production. Apply sound judgement to distinguish between promising avenues and technical dead ends ensuring that projects align with and drive measurable business outcomes. Work cross-functionally with a deep sense of empathy for user problems collaborating closely with product managers, engineers, and subject matter experts to translate their challenges into technical requirements and solutions. Expert programming skills are required OpenShift application development and administration is a plus Experience deploying applications using PaaS technologies is a plus Bachelor's degree in a related field (e.g., Computer Science, Software Engineering, Data Science/Analytics) with 3+ years of relevant working experience or Masters degree with 1+ year of working experience Experience in a startup or fast-paced environment, Kaggle competitions, or Open Source project contributions is a plus About Red Hat Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply. We’re the world’s leading provider of enterprise open source solutions—including Linux, cloud, container, and Kubernetes. We deliver hardened solutions that make it easier for enterprises to work across platforms and environments, from the core datacenter to the network edge. At Red Hat, our commitment to open source extends beyond technology into virtually everything we do. We collaborate and share ideas, create inclusive communities, and welcome diverse perspectives from all Red Hatters, no matter their role. It’s what makes us who we are. Some of the most knowledgeable and passionate people in the technology industry work here. Whether we’re building software, championing our products, or training new associates, we’re collaborating openly to make a difference in the world of open source and beyond.

Responsibilities

You will help shape the technical strategy for implementing AI solutions across the XE business and play a key role in early prototyping of solutions. This includes translating business problems into analytical projects and managing data pipelines for predictive analytics modeling.