{"id":3059456,"url":"https://alion.io/job/johnson-johnson-mgr-forward-deployed-engineer","title":"Mgr, Forward Deployed Engineer","company":{"id":14152,"name":"Johnson & Johnson","domain":"jnj.com","url":"https://alion.io/company/jnj","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":31,"ghost_share":0,"stale_share":0.839,"repost_share":0,"time_to_fill_p50_days":7,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":58000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":36},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Amazon CloudWatch","optional":true},{"name":"Amazon ECS","optional":true},{"name":"Amazon EKS","optional":true},{"name":"Amazon Redshift","optional":true},{"name":"Amazon S3","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"AWS Lambda","optional":true},{"name":"Databricks","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Google Cloud Run","optional":true},{"name":"Google GKE","optional":true},{"name":"IAM","optional":true},{"name":"Machine Learning","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-07-28T00:00:00Z","employer_posted_date":"2026-07-28","last_verified_at":"2026-10-24T10:36:05Z","board_verified":true,"closed_at":null,"days_open":88,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":88},"description":"At 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.\nAs 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.\nJob Function:\nTechnology Product & Platform ManagementJob Sub Function:\nTechnical Product ManagementJob Category:\nPeople LeaderAll Job Posting Locations:\nHyderabad, Andhra Pradesh, IndiaJob Description:\nJohnson & 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.\nThe 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.\nLocation: Hyderabad, India | Organization: Johnson & Johnson, JJT India Capability Center | Function: Technology, AI/ML, Generative AI, Cloud Engineering and Digital Solutions\nKey Responsibilities\nPartner 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.\nRapidly prototype, validate, iterate, and deploy AI-enabled products, workflows, and platform capabilities in close partnership with users and delivery teams.\nDesign scalable and reusable cloud architecture patterns across AWS and GCP, including serverless, containerized, microservices-based, event-driven, data lake, lakehouse, and hybrid cloud patterns.\nDesign and implement Generative AI solutions leveraging large language models, Retrieval-Augmented Generation architecture patterns, semantic search, knowledge graphs, and enterprise knowledge integration.\nArchitect Agentic AI solutions, including autonomous AI workflows, multi-agent orchestration, agentic frameworks, tool integration, guardrails, and human-in-the-loop controls for enterprise use cases.\nEmbed with global product, data science, engineering, security, infrastructure, architecture, and business teams to convert ambiguous business requirements into secure, scalable, and production-ready technical solutions.\nEvaluate and recommend appropriate cloud-native AI/ML services, data platforms, compute options, integration patterns, and automation frameworks aligned to enterprise architecture standards.\nEstablish prompt engineering, prompt management, evaluation, versioning, reuse, and lifecycle practices for scalable Generative AI delivery.\nEnsure architecture decisions meet requirements for performance, reliability, scalability, security, privacy, compliance, cost optimization, and operational resilience in a regulated healthcare environment.\nProvide hands-on technical leadership to engineering teams at the Hyderabad capability center and across global delivery teams through implementation support, reference architectures, design reviews, code-level guidance, and technical standards.\nDrive adoption of DevOps and MLOps practices, including CI/CD, infrastructure as code, automated testing, model deployment automation, monitoring, alerting, and release governance.\nCollaborate with governance, privacy, cybersecurity, quality, and compliance stakeholders to ensure AI/ML solutions align with Johnson & Johnson enterprise standards and regulatory expectations.\nImplement responsible AI and AI governance practices, including AI risk assessments, model explainability, transparency, validation, monitoring, and regulatory readiness for AI systems.\nSupport solution roadmaps, technology evaluations, proof-of-concepts, MVP delivery, user feedback cycles, production rollout, and modernization initiatives for AI/ML, data platforms, and digital solutions.\nAct as a trusted technical partner for stakeholders by bridging strategy, architecture, engineering execution, adoption, and measurable business outcomes.\nRequired Skills and Experience\nHands-on experience with AWS and GCP cloud services, including compute, storage, networking, security, data platforms, AI/ML services, and observability capabilities.\nStrong experience delivering enterprise-grade AI/ML solutions using modern cloud architecture patterns within large, global technology organizations.\nDeep understanding of cloud architecture patterns such as microservices, containers, Kubernetes, serverless, event-driven architecture, API-based integration, data lake/lakehouse, and distributed processing.\nStrong understanding of AI/ML lifecycle concepts, including data preparation, feature engineering, model training, model evaluation, deployment, monitoring, retraining, and governance.\nExperience designing Generative AI solutions using LLMs, including RAG architecture patterns, vector search, semantic search, enterprise knowledge retrieval, and knowledge graph-based architectures.\nHands-on knowledge of Agentic AI architecture, including agent frameworks, multi-agent orchestration, autonomous workflow design, tool use, planning patterns, guardrails, and enterprise integration.\nStrong understanding of prompt engineering, prompt lifecycle management, prompt evaluation, reusable prompt patterns, and operational controls for Generative AI applications.\nKnowledge of DevOps practices and tools, including CI/CD pipelines, Git-based workflows, automated deployments, infrastructure as code, containerization, and environment management.\nExperience with MLOps concepts and tooling for automated model deployment, model registry, experiment tracking, model monitoring, and drift detection.\nAbility to design secure, compliant, and resilient cloud solutions with appropriate identity and access management, encryption, network controls, logging, and auditability.\nKnowledge of AI governance practices, including responsible AI implementation, AI risk assessment, model explainability and transparency, human-in-the-loop controls, validation, monitoring, and regulatory readiness.\nDemonstrated ability to work in forward-deployed or embedded engineering models, including rapid discovery, solution shaping, prototyping, user validation, production delivery, and adoption support.\nStrong stakeholder management and communication skills, with the ability to explain complex architecture decisions to both technical and business audiences.\nPreferred Skills\nExperience working in clinical development, pharmaceutical R&D, healthcare, life sciences, medical technology, or other regulated domains relevant to Johnson & Johnson’s business environment.\nUnderstanding of clinical development workflows, clinical trial data, regulated data platforms, privacy requirements, GxP considerations, and compliance-driven technology delivery.\nExperience with AWS services such as SageMaker, Lambda, ECS/EKS, S3, Glue, Redshift, IAM, CloudWatch, and related data or AI/ML services.\nExperience with GCP services such as Vertex AI, BigQuery, Cloud Storage, GKE, Cloud Run, Cloud Functions, Pub/Sub, IAM, and Cloud Monitoring.\nExposure to data engineering platforms, lakehouse architectures, Databricks, Spark, orchestration tools, and modern analytics platforms.\nCloud or architecture certifications such as AWS Solutions Architect, AWS Machine Learning Specialty, Google Professional Cloud Architect, or Google Professional Machine Learning Engineer.\nEducation and Experience\nBachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Information Technology, or a related discipline.\n10+ years of overall technology experience, including significant experience in hands-on engineering, solution architecture, cloud platforms, data engineering, AI/ML, Generative AI, or enterprise solution delivery.\n10+ years of experience designing and implementing cloud-native solutions on AWS, GCP, or multi-cloud environments.\nPrior experience leading hands-on solution delivery, architecture discussions, design reviews, technical roadmaps, MVP development, and cross-functional delivery teams.\nPrior experience of working in Innovative Pharma company in R&D domain would be added advantage.\nKey Competencies\nForward-deployed engineering mindset with strong ownership, rapid problem-solving, and hands-on delivery orientation\nAbility to operate effectively in ambiguous business environments and convert user needs into scalable technical solutions\nCloud-native solution design across AWS and GCP\nAI/ML platform architecture and MLOps enablement\nGenerative AI, RAG, semantic search, knowledge graph, and Agentic AI architecture capability\nDevOps' mindset with focus on automation, reliability, and continuous delivery\nSecurity, compliance, and governance orientation\nResponsible AI, AI governance, explainability, validation, monitoring, and regulatory readiness orientation\nStrong collaboration with global product, engineering, data science, architecture, security, quality, and business stakeholders\nAbility to influence technical direction, establish reusable enterprise patterns, and drive adoption through hands-on execution\nSuccess Measures\nDelivery of scalable, secure, reusable, and production-ready AI/ML solutions and reference architectures.\nSuccessful conversion of ambiguous business problems into validated prototypes, MVPs, and production deployments with measurable stakeholder impact.\nDelivery of enterprise-ready Generative AI and Agentic AI architectures using LLMs, RAG, semantic search, knowledge graphs, and autonomous workflow patterns.\nSuccessful implementation of cloud patterns that improve speed, reliability, and cost efficiency.\nEffective adoption of DevOps and MLOps practices across delivery teams.\nStrong alignment of AI/ML solutions with enterprise architecture, security, and compliance expectations.\nEffective implementation of responsible AI controls, AI risk assessments, model explainability, human-in-the-loop mechanisms, validation, monitoring, and regulatory readiness practices.\nImproved adoption, usability, and measurable value realization across global business, clinical, data science, engineering, platform, and Hyderabad capability center teams.\nJohnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, veteran status, or any other protected characteristic.\nRequired Skills:\nPreferred Skills:\nAnalytical Reasoning, Consulting, Cost Management, Developing Others, Human-Computer Interaction (HCI), Inclusive Leadership, Leadership, People Performance Management, Performance Measurement, Product Development, Product Strategies, Project Management Methodology (PMM), Research and Development, Resource Managem...","description_format":"text","description_chars":12088,"description_truncated":true,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Surgical Instruments & Devices","Orthopedic & Spine Implants"],"lifecycle":[{"event":"open","at":"2026-10-22T05:42:39Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.289,"p_room":0.28,"age_days":88,"expected_fill_days":7,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/johnson-johnson-mgr-forward-deployed-engineer","json_url":"https://alion.io/job/johnson-johnson-mgr-forward-deployed-engineer.json","meta":{"generated_at":"2026-10-24T12:00:06Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":17215,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":14152},"rest":"https://alion.io/mcp/rest/get_company?id=14152"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fjohnson-johnson-mgr-forward-deployed-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fjohnson-johnson-mgr-forward-deployed-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fjohnson-johnson-mgr-forward-deployed-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/johnson-johnson-mgr-forward-deployed-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fjohnson-johnson-mgr-forward-deployed-engineer"}]}