This role represents a rare opportunity to define and build the AI capabilities of a newly standalone company (DePuy Synthes). You will shape how generative and agentic AI is designed, governed, reused and scaled, while leading a team of AI architects and engineers.
Locations (2)
Raritan, New Jersey, United States
Bengaluru, Karnataka, India
Compensation
The anticipated base pay range for this position is $140,000.00 - $241,500.00.
Responsibilities
Define and evolve the enterprise AI strategy, architecture, and roadmap
Architect the agentic runtime, including agent orchestration and mesh, MCP tool and skill registries
Design reusable context and knowledge services, including RAG and Graph RAG, vector stores
Establish patterns for LLMOps and MLOps, observability, evaluation, Responsible AI, security and AI cost management
Lead the AI Innovation Lab and maintain an actionable innovation portfolio
Requirements
Bachelor's degree in Computer Science, Engineering or a related technical field
Nice to have: Master's degree or PhD in Computer Science, Machine Learning
Nice to have: Experience in medical device or life sciences
Nice to have: Familiarity with GxP
Nice to have: AI architecture or cloud certifications
Lead a team responsible for developing software to support digitizing production lines and implementing streaming machine controls.
Compensation
Salary: Starting at $110,000 US & CAD
Responsibilities
Develop and implement modern smart factory solutions that connect legacy manufacturing equipment to scalable digital infrastructure.
Design, deploy, and maintain Industrial IoT (IIoT) applications operating both on-premises and in cloud environments.
Build and manage cloud-native infrastructure using Infrastructure as Code (IaC) methodologies, including Terraform.
Develop and support AWS-based solutions for leveraging services such as AWS IoT, AWS Lambda, AWS Bedrock, and AgentCore for AI-driven manufacturing and operational use cases.
Design and implement AI-enabled workflows, intelligent agents, and automation solutions to improve operational efficiency and decision-making.
Lead research at the intersection of industry-scale data and academic rigor in Document Understanding, designing AI-native agentic systems to unlock insights from billions of historical and genealogical records.
Responsibilities
Innovate with State-of-the-Art AI: Implement cutting-edge AI solutions for key Document Understanding tasks such as OCR/HTR, transcription, Named Entity Recognition (NER), Relation Extraction (RE), Coreference Resolution, Summarization, and Knowledge Graphs working with diverse genealogical and historical collections spanning newspapers, city directories, family history books, and vital records (i.e., birth, marriage, & death records).
Architect Agentic Systems: Design and implement multi-agent workflows using frameworks like LangChain, LangGraph, CrewAI, AutoGen, AgentCore, Strands, Google ADK, A2A, etc. to automate complex multi-step reasoning tasks in historical document analysis and information extraction.
Analyze and Optimize Multi-Modal Models: Evaluate the performance of multi-modal AI & LLMs such as GPT, Gemini, Claude, Llama, and Qwen for zero-shot and few-shot scenarios in comprehensive document understanding.
Computer Vision (CV): Apply expertise using models like YOLO, Nougat, DONUT, OpenCV, etc. to perform layout analysis, identifying text blocks, headers, tables, and deeply nested lists.
Requirements
Ph.D. (recent graduate or near completion) in Computer Science, Data Science, Statistics, Linguistics, Engineering, or a related quantitative field with a strong research focus.
Lead the Data & AI Platforms tower, owning strategy, roadmap, and operations for enterprise data and AI platforms on AWS and Databricks, while managing cross-functional teams and ensuring platform stability during the company separation.
Compensation
The anticipated base pay range for this position is : $168,000.00 - $290,950.00
Responsibilities
Own strategy, roadmap, budget and run of enterprise Data & AI platforms on AWS and Databricks
Turn target-state architecture and standards into platform services
Stand up and stabilize cloned and transitional platforms during separation
Plan and deliver TSA exits from Johnson & Johnson platforms
Consolidate regional and functional data lakes, ingestion frameworks and BI tools onto one governed lakehouse
Requirements
Bachelor’s degree in Computer Science, Engineering or a related technical field
Nice to have: Master’s degree in Computer Science, Engineering or a related field
Nice to have: medical device
Nice to have: life sciences
Nice to have: regulated industry (GxP, CSV/CSA, 21 CFR Part 11, data privacy)
Lead end-to-end solutioning for AWS transformation, migration, modernisation, data and AI opportunities across major UK and EMEA clients, focusing on AWS-native agentic AI solutions.
Responsibilities
Lead end-to-end solutioning for AWS transformation, migration, modernisation, data and AI opportunities across major UK and EMEA clients.
Shape AWS-native agentic AI solutions that move clients from proof of concept to production, using Amazon Bedrock, AgentCore, agents, RAG, guardrails, orchestration, observability and operational controls.
Architect complex cloud journeys including VMware/data-centre exit, mainframe and .NET modernisation, SAP on AWS, data lakes, analytics, platform engineering, security and managed run.
Develop commercially credible business cases, proposal narratives, estimates, delivery models, assumptions and risk positions.
Collaborate closely with sales, account teams, AWS field teams, delivery, security, data/AI and industry SMEs to build differentiated propositions.
Requirements
Nice to have: AWS Certified Solutions Architect Professional
The Senior Agentic AI Architect will design and build intelligent AI agents capable of managing complex workflows. They will oversee the complete development lifecycle from solution design to deployment. The role includes developing knowledge ingestion pipelines and ensuring security in AI-generated communications.
Compensation
Pay Rate Range: $56.81 - 60.60/hr.
Responsibilities
Design and build intelligent AI agents capable of reasoning, planning, tool execution, and managing complex workflows with minimal human intervention.
Hands-on building and deploying agents using AWS AgentCore, including Runtime, Memory, Gateway, Identity, Policy, and Observability capabilities.
Leadership role to build and run data and AI platforms for a newly standalone company (DePuy Synthes) during separation from Johnson & Johnson, consolidating fragmented data estates into a governed AI-ready platform on AWS and Databricks.
Compensation
anticipated base pay range for this position is $168,000.00 - $290,950.00
Responsibilities
Own the strategy, roadmap, budget and run of the enterprise Data & AI platforms on AWS and Databricks
Turn target-state architecture and standards into platform services that domain, data science and delivery teams can consume through self-service
Keep the business running through separation by standing up and stabilizing cloned and transitional platforms
Plan and deliver TSA exits from Johnson & J platforms on time and within budget
Consolidate regional and functional data lakes, ingestion frameworks and BI tools onto one governed lakehouse
Lead and grow strategic enterprise accounts for Transcend’s data governance and AI platform solutions.
Compensation
$150,000—$175,000 USD
On-Target Earnings (“OTE”) Projection for Sales roles: Transcend's Sales Incentive Plan is designed to reward achievement of sales goals. When base salary and target incentive are combined, the projected OTE for this role is listed as the pay range below, assuming achievement of 100% of Sales goals.
On-Target Earnings (OTE) Range
$300,000—$350,000 USD
Responsibilities
Build and own pipeline for named accounts
Develop strategic account plans and engage C‑suite
Sell across dual buying centers (data control and Rails)
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