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 that turns emerging technologies and priority business needs into enterprise platforms, accelerators and strategic applications.
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 across Databricks Mosaic AI, Amazon Bedrock, AgentCore, the enterprise model gateway and related services.
Architect the agentic runtime, including agent orchestration and mesh, MCP tool and skill registries, Agent-to-Agent interoperability, agent identity, entitlements and secure tool execution.
Design reusable context and knowledge services, including RAG and Graph RAG, vector stores, knowledge graphs such as Amazon Neptune, shared memory and context assembly.
Establish patterns for LLMOps and MLOps, observability, evaluation, Responsible AI, security and AI cost management in partnership with platform and governance teams.
Create a discoverable catalog of AI services, models, agents, tools, skills and reference patterns that teams can reuse across the enterprise.
Requirements
Bachelor's degree in Computer Science, Engineering or a related technical field
Senior Software Engineer responsible for building, developing, testing, and deploying scalable cloud-based applications and backend solutions on Microsoft Azure, including data ingestion pipelines and large‑scale data‑processing solutions.
Responsibilities
Build, develop, test, and deploy scalable applications and backend solutions on Microsoft Azure.
Build and optimize data ingestion pipelines and large-scale data-processing solutions using Python, PySpark, Apache Spark, Kafka, and Azure services.
Design event-driven architectures and integrations using APIs, REST services, and messaging technologies.
Develop and maintain Delta Lake solutions using medallion architecture.
Support integration with Databricks, SQL databases, and hybrid storage solutions.
Design and implement GPU-accelerated pipelines capable of processing very large (multi-TB and PB sizes) cyber, network, and industry datasets.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
Responsibilities
Design and implement GPU-accelerated pipelines capable of processing very large (multi-TB and PB sizes) cyber, network, and industry datasets.
Develop proof-of-concept discussions that assist and illustrate how to address accelerated and AI compute workloads to tackle real customer issues.
Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM partners to drive innovative technical and business strategies.
Guide the development of Agentic AI workflows, including semantic search, retrieval-augmented generation (RAG), and Graph Neural Network (GNN) based applications for threat detection.
Translate complex AI and cybersecurity research into actionable, deployable architectures for enterprise and government customers.
Requirements
BS, MS, or PhD in Computer Science, AI Engineering, Data Science, or a related field (or equivalent experience).
Nice to have: Experience with NVIDIA opensource projects and tools like Morpheus, RAPIDS, NVIDIA DPU DOCA
Nice to have: Integrating AI workloads with Splunk or data pipeline architectures or AI security protection ecosystems
Lead Data Scientist Vice President focused on cost-based analytics, business intelligence, and GenAI applications within the Merchant Services team.
Compensation
competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity
Responsibilities
Create innovative solutions that make a difference for our customers, clients, and employees.
Collaborate with experienced data scientists and peer analysts to develop new cost-based analytics and GenAI applications.
Work on agile teams to support data-driven decision-making and manage stakeholders.
Lead/partner on the creation of virtual assistants and workflow automations using multi-agent AI patterns where appropriate.
Translate business problems into end-to-end AI solutions, including problem framing, data requirements, model approach, evaluation, and delivery.
Requirements
Bachelor’s or Master’s degree in analytics, computer science, statistics, mathematics or similar technical or quantitative field
Lead expert in data and platform engineering for NVIDIA's DGX Cloud organization, responsible for designing, building, and operating the DGXC Data Platform.
Compensation
NVIDIA offers highly competitive salaries and a comprehensive benefits package.
Responsibilities
Define architecture and roadmap for ingestion, processing, storage, and data serving
Lead delivery across platform engineers, data producers, and consumers
Build and operate batch and streaming ingestion capabilities
Establish data contracts, quality monitoring, and certification
Guide cataloging, lineage, and governed access
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field
The Software Asset Management product empowers organizations to manage software licensing and compliance with precision. Engineers build performance-efficient algorithms to help customers achieve the most accurate licensing position.
Compensation
base pay of $143,200 - $243,400, plus equity (when applicable), variable/incentive compensation and benefits.
Responsibilities
Build high-quality, clean, scalable, and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit Testing, etc.)
Own your code from design through implementation, test automation, and delivery
Collaborate with product managers to define feature sets that solve customer problems
Work with architects to shape product design and with QE to enhance quality and performance
Contribute to new product features and enhance existing offerings
Manager responsible for architecting and optimizing future field execution by identifying frontline value-creation opportunities and translating field strategy into clear operating models, standards and ways of working.
Locations (4)
Vancouver, British Columbia, Canada
Calgary, Alberta, Canada
Brampton, Ontario, Canada
Montreal, Quebec, Canada
Compensation
The full base salary range for this position is from $108,000.00 - $120,000.00 annually.
Responsibilities
Set direction for future field execution, identify frontline value-creation opportunities and prioritize the transformation roadmap against business and customer priorities
Manager responsible for architecting and optimizing future field execution by identifying frontline value-creation opportunities and translating field strategy into clear operating models, standards and ways of working.
Locations (5)
Vancouver, British Columbia, Canada
Calgary, Alberta, Canada
Brampton, Ontario, Canada
Montreal, Quebec, Canada
Canada
Compensation
The full base salary range for this position is from $108,000.00 - $120,000.00 annually.
Set direction for future field execution, identify frontline value-creation opportunities and prioritize the transformation roadmap against business and customer priorities
Formulate and maintain sales visitation criteria, modeling, and segmentation in collaboration with customer and planning teams
Design and optimize future frontline operating models, execution standards and ways of working for field selling and merchandising
Define business outcomes, frontline requirements, intended behaviours and success measures for transformation initiatives
Lead pilot design and stakeholder alignment, using field feedback and performance insights to optimize the execution model
Requirements
Bachelor's Degree in Science or Business Admin (or equivalent)
Collaborate with key stakeholders to create, distribute, and track Targeted Sales Initiatives
Manage key business indicators of field performance and selling effectiveness; such as Strike Rate, Route Compliance, and Sales Initiative completion
Ensure business continuity and provide field sales support for our Sales Force Automation (SFA) sales software
Create and implement efficiency drivers and/or selling enablers, with a focus on digital ordering, image recognition, and predictive modeling
Lead or support the development of new projects related to improving business performance or Customer Experience; Including but not limited to Spring Mobile, PowerBI, Salient Dashboards, Execute Sell Hunt, Spark, AI Coaching, and other forward-looking technology
Requirements
Bachelor’s Degree in Science or Business Admin (or equivalent)
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