Mgr, Forward Deployed Engineer

Biopharma Careers; Hyderabad; On-site; INR 2,500,000 - 3,600,000; Full time

Job summary

Johnson & Johnson JJT India Capability Center in Hyderabad seeks an experienced Mgr, Forward Deployed Engineer focused on AI/ML, Generative AI, and cloud architecture. You will partner with stakeholders to translate healthcare needs into production-grade AI solutions and guide engineering teams to deliver reliable compliant results.

The role involves rapid prototyping, deployment of AI-enabled products, and designing scalable cloud architectures across AWS and GCP in a regulated data environment.

Qualifications

• Experience turning healthcare data needs into AI/ML solutions.
• Strong cloud-native AI/ML solution design in production.
• Familiarity with regulated data environments and compliance.

Responsibilities

• Collaborate with business, product, data science, and engineering teams to identify AI use cases.
• Rapidly prototype, validate, and deploy AI-enabled products and workflows.
• Design scalable cloud patterns across AWS and GCP and guide delivery teams.

Skills

AI/ML engineering

Generative AI

Cloud architecture

AWS

Google Cloud Platform

Job description

# Mgr, Forward Deployed EngineerHyderabad, India Full timeOther / Corporate FunctionsNotify me about similar jobsView Full Job & Apply at Johnson & JohnsonJohnson & Johnson is the source of truth for this posting and owns the application process. We surface normalized context and market comparison you won't find on the original listing.## About this opportunityAt Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com .As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.**Job Function:**Technology Product & Platform Management**Job Sub Function:**Technical Product Management**Job Category:**People Leader**All Job Posting Locations:**Hyderabad, Andhra Pradesh, India**Job Description:**Johnson & Johnson JJT India Capability Center, Hyderabad is seeking an experienced Mgr, Forward Deployed Engineer focused on AI/ML, Generative AI, Agentic AI, and cloud architecture. This role will work closely with business, product, data science, engineering, architecture, security, and compliance stakeholders to translate high-value healthcare, clinical, scientific, and enterprise technology needs into production-grade AI solutions.The Mgr, Forward Deployed Engineer will operate at the intersection of business problem-solving, hands-on engineering, solution architecture, and rapid delivery. The role will define and implement cloud-native, AI/ML, Generative AI, Agentic AI, and responsible AI architecture patterns; build and deploy prototypes and production solutions; and guide engineering teams in delivering reliable, compliant, and high-performing solutions across AWS and Google Cloud Platform (GCP). Experience in clinical development, life sciences, healthcare, pharmaceutical R&D, or regulated data environments will be highly preferred.**Location:** Hyderabad, India | **Organization:** Johnson & Johnson, JJT India Capability Center | **Function:** Technology, AI/ML, Generative AI, Cloud Engineering and Digital SolutionsKey ResponsibilitiesPartner directly with business, product, clinical, scientific, data science, engineering, and technology stakeholders to identify high-impact use cases and translate them into deployable AI/ML and Generative AI solutions.Rapidly prototype, validate, iterate, and deploy AI-enabled products, workflows, and platform capabilities in close partnership with users and delivery teams.Design scalable and reusable cloud architecture patterns across AWS and GCP, including serverless, containerized, microservices-based, event-driven, data lake, lakehouse, and hybrid cloud patterns.