Technologist, Data Analytics Engineering at Western Digital

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

28 May, 26

Salary

0.0

Posted On

27 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, LangGraph, LangChain, ReactJS, Go, Rust, REST API Development, Amazon Bedrock, Prompt Engineering, MLOps, Salesforce, Marketo, Oracle Exadata, Azure, SQL, Full-Stack Development

Industry

Computer Hardware Manufacturing

Description

Company Description At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, WD_BLACK™, and SanDisk® Professional brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. Job Description Role Overview The Senior AI Engineer will be responsible for designing and deploying comprehensive AI workflows to transform sales, marketing, and e-commerce processes. This position demands advanced expertise in Python-driven AI orchestration, as well as robust frontend and backend development skills using frameworks like CrewAI, LangChain, LangGraph, ReactJS, and Go or Rust. Experience with REST API development for system integration is required. Familiarity with Amazon Bedrock for prompt engineering and AI decision-making is essential. Key Responsibilities AI Workflow Orchestration: Proficiency with LangGraph, LangChain, or AWS Bedrock AgentCore for building complex, multi-step AI agents capable of automating tasks such as lead scoring, customer segmentation, and personalized e-commerce experiences. Prompt Engineering & MLOps: Managing the prompt lifecycle using tools such as PromptLayer and LangSmith, with the ability to design rigorous evaluation frameworks for assessing model performance and safety. High-Performance Engineering: Develop internal tools and client-facing applications utilizing frameworks like ReactJS, Go, or Rust to deliver high-performance frontend and backend solutions. System Integration: Implement reliable API integrations among Salesforce (CRM), Marketo (Marketing), and data warehouses including Azure and Oracle Exadata. Marketing/Sales Automation: Comprehensive knowledge of Salesforce and Marketo API ecosystems to enable automation of personalized leads and e-commerce conversion activities. Data Pipeline Development: Construct scalable data pipelines for ingesting, processing, and delivering real-time insights from Oracle Exadata into AI models. Application Development: Build robust, high-availability applications that enhance both internal sales operations and external customer engagement. Qualifications Required Technical Qualifications Software Engineering: Minimum of 8 years’ experience in software engineering with an emphasis on full-stack development and AI systems integration. Python Expertise: Extensive proficiency in Python for end-to-end AI solution development, including LLM orchestration via LangChain and LangGraph. API Development: Skilled in developing APIs using Python or other industry-standard frameworks. Frontend/Backend Development: Strong background in ReactJS, with advanced expertise in either Go or Rust for developing low-latency components. Platform Knowledge: Hands-on experience working with Salesforce and Marketo. Data Management: Solid foundation in SQL and data management within Oracle Exadata and Azure environments. Preferred Qualifications Experience with agent development tools such as Agentforce or Copilot Studio. Familiarity with e-commerce platforms and automated campaign management systems. AWS Certified Machine Learning – Specialty. Additional Information Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal” poster. Our pay transparency policy is available here. Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 09/13/2025 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI-KS1 WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email [email protected]. Job Type (exemption status): Exempt position - Please see related compensation & benefits details below Business Function: Data Analytics Engineering Work Location: Bangalore Hallmark Office (IBS)--LOC_WDT_IBS

Responsibilities

The Senior AI Engineer will design and deploy comprehensive AI workflows to transform sales, marketing, and e-commerce processes using advanced expertise in Python-driven AI orchestration and frontend/backend development frameworks. Key duties include orchestrating AI workflows with tools like LangGraph, managing the prompt lifecycle, developing high-performance applications, and implementing reliable API integrations across various enterprise systems.