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Strategic OCI & AI Infrastructure Lead
Oracle
Jefferson City, MO
- $102,300 to $209,500 USD / year
+ Familiarity with AI, machine learning, or high-performance computing workloads
Added just now
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Strategic OCI & AI Infrastructure Lead
Oracle
Jefferson City, MO
- $102,300 to $209,500 USD / year
+ Familiarity with AI, machine learning, or high-performance computing workloads
Added just now
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Strategic OCI & AI Infrastructure Lead
Oracle
Jefferson City, MO
- $102,300 to $209,500 USD / year
+ Familiarity with AI, machine learning, or high-performance computing workloads
Added 1 min ago
O
Strategic OCI & AI Infrastructure Lead
Oracle
Jefferson City, MO
- $102,300 to $209,500 USD / year
+ Familiarity with AI, machine learning, or high-performance computing workloads
Added 3 mins ago
O
Strategic OCI & AI Infrastructure Lead
Oracle
Jefferson City, MO
- $102,300 to $209,500 USD / year
+ Familiarity with AI, machine learning, or high-performance computing workloads
Added 17 mins ago
Manufacturing Engineer 3 - 31037
Huntington Ingalls Industries
Pocasset, MA
Know & Grow Your People – Commit to learning and supporting team success.
Added 17 mins ago
Software Development Engineer, OneMHS
Amazon
Boston, MA
We are seeking an exceptional Software Development Engineer to build and scale edge machine learning compute, equipment monitoring, and computer vision capabilities across our global…
Added 18 mins ago
Senior Data Technology Consultant, Databricks Data & AI Practice
EPAM Systems
Boston, MA
Must have: Databricks certifications (e.g., Data Engineer Professional, Machine Learning Professional, or Generative AI Engineer) and experience with Databricks partner programs
Added 1 hour ago
Cloud Solution Engineer (Genomics & AI)
Oracle
Jefferson City, MO
The opportunity Oracle is seeking a senior pre-sales engineer with expertise in genomics, software engineering, and applied AI/ML. You will help molecular diagnostics companies, genomics…
Added 1 hour ago
Senior Software Engineer, Discover Feed Recommendations
Google
Mountain View, CA
3 years of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
Added 2 hours ago
Research Engineer, Cybersecurity RL (Reinforcement Learning)
Anthropic
San Francisco, CA · New York City, NY
…comes with risks if not properly safeguarded. As a Research Engineer, you'll help to safely advance the capabilities of our models in incident response, security analysis, vulnerability…
Added 2 hours ago
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Senior Technical Support Engineer
Microsoft
TX · NC · Irving, TX · Charlotte, NC · Irving · Charlotte
- $86,100 to $187,400 USD / year
…delivering customer success. As a Senior Technical Support Engineer, you will own, troubleshoot, and solve complex customer technical issues. This opportunity will allow you to accelerate…
Added 2 hours ago
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Software Engineer
Microsoft
WA · Redmond, WA · Redmond
- $85,400 to $183,700 USD / year
Our team is building a high-scale, exabyte-scale data platform to help enterprises: Inventory and map their entire digital estate: From devices and users to permissions, data systems, and…
Added 2 hours ago
M
Software Engineer II & Senior Software Engineer - CoreAI Speech Team
Microsoft
WA · Redmond, WA · Redmond
- $102,100 to $202,200 USD / year
We are hiring an experienced Software Engineer II and a Senior Software Engineer to join our team! As a Software Engineer within the Microsoft CoreAI Speech Team, you will help design,…
Added 2 hours ago
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Engineer Signal Image Processing 2
TEKsystems
Cincinnati, OH
- $40 to $50 USD / hour
Artificial Intelligence and Machine Learning applications for signal processing
Added 3 hours ago
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Full-Stack Platform Engineer
Jobgether
Remote, United States
- $190,000 to $215,000 USD / year
You will also drive secure software development practices, DevSecOps automation, and the integration of AI and machine learning capabilities.
Added 3 hours ago
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Member of Technical Staff, Microsoft Robotics (Robot Learning)
Microsoft
WA · Redmond, WA · Redmond
- $102,100 to $219,200 USD / year
We are hiring a Member of Technical Staff, Microsoft Robotics (Robot Learning) at the software engineer II level to develop, train, evaluate, and deploy machine learning models that enable…
Added 3 hours ago
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Senior Security Software Engineer
Microsoft
United States
- $119,800 to $261,000 USD / year
We are looking for a Senior Security Software Engineer to join the Microsoft AI Red Engineering Team. In this role, you will own building and operating secure and reliable Azure GPU…
Added 3 hours ago
TT
Senior Data & Machine Learning Engineer
True Talent Solutions Partners
New York City, NY
- $200,000 to $300,000 USD / year
- Early-stage startup or founder experience is valued; experience building an ML team and graduate study in computer science or machine learning are also relevant.
Added 4 hours ago
Mechanical Engineer II or III
Integrated Production Systems, Inc
ARLINGTON, TX
We are seeking a Mechanical Engineer (II or III level) who can independently lead complex mechanical engineering work supporting commercial and U.S. Department of War (DoW) programs. This…
Added 4 hours ago
Sr. Software Engineer, Ads Product
SpaceXSI
Palo Alto, CA
A bias toward action: you like shipping, learning from real users, and improving quickly
Added 5 hours ago
Senior Security Engineer
PathAI
Boston, MA
Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and…
Added 5 hours ago
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Senior Software Engineer, Autonomous Systems (C2/Backend/Service)
True Talent Solutions Partners
Palo Alto, CA
- $145,000 to $275,000 USD / year
- Engineer scalable, reliable, and fail-safe software for high-stakes environments.
Added 5 hours ago
Senior AI Engineer, Banking Technology
Citibank, N.A.
United States
2+ years focused on AI software development, LLM‑based solutions, agentic systems, and/or machine learning.
Added 5 hours ago
Responsible AI Engineer Specialist
Accenture LLP Company
NY
Minimum of 3 years of experience in developing and evaluating machine learning models and AI solutions. At least 2 from the following:

Nova Biomedical

Staff AI Engineer

Waltham, MA, United States

Employment terms, work location, schedule, compensation range $230,000-$270,000), and benefits will align with Nova's standard HR practices for the final approved position and posting location.

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Job details

Pay: Employment terms, work location, schedule, compensation range $230,000-$270,000), and benefits will align with Nova's standard HR practices for the final approved position and posting location.
Experience: 10+ years hands-on experience building AI, machine learning, automation, data, or modern software applications in enterprise environments.
Posting language: English
Posted: Sep 25, 2026

Original job description

Company Overview

Nova Biomedical: One Global Brand. One Vision. Together under one name. Advanced Instruments and Nova Biomedical are now united under one brand, Nova Biomedical. This role will help scale Nova's Data & AI capability as the company strengthens its digital foundation, analytics, and AI-enabled ways of working.

Driven by innovation and guided by our core values - Customer Centricity, Ingenuity, Ownership & Accountability, Collaboration, and Integrity - Nova creates solutions that make a global impact. At Nova, candidates will find opportunities to grow, contribute, and help build a culture focused on transparency, sustainability, effective communication, and employee engagement.

Job Summary

The Staff AI Engineer will serve as a senior hands-on technical leader within Nova's Data & AI function, designing, building, and operationalizing AI-enabled applications, agents, reusable engineering patterns, and the platform capabilities needed to run them at enterprise scale. This role combines deep AI engineering capability with AI platform engineering discipline, helping move priority use cases from concept to secure, maintainable production adoption.

The role is expected to set technical direction for AI engineering and AI platform patterns, partner closely with data, analytics, IT, security, quality, and business teams, and ensure that AI solutions are built with strong architecture, evaluation, observability, identity and access controls, documentation, and handoff practices from the start.

Why This Role Matters

Shape the engineering foundation for Nova's enterprise AI capability, including agents, retrieval, evaluation, integrations, and production support patterns.
Translate high-priority business needs into practical AI applications with measurable adoption and enterprise impact.
Help establish standards that make AI solutions secure, auditable, maintainable, and reusable across Nova.
Mentor engineers and delivery partners while remaining close to hands-on implementation for critical use cases.

Responsibilities

Lead the design, build, deployment, and support of AI agents, copilots, RAG applications, tool-calling workflows, and AI-enabled workflow automations.
Define and implement reusable AI engineering patterns across prompt design, retrieval strategies, embeddings, vector stores, orchestration, API integration, evaluation, guardrails, logging, monitoring, and incident response.
Build and evolve shared AI platform components such as agent orchestration services, model gateway patterns, retrieval services, prompt and policy management, evaluation frameworks, secrets handling, deployment templates, and reusable integration libraries.
Design platform controls for model access, environment separation, telemetry, cost management, usage tracking, audit logging, and responsible AI guardrails so AI capabilities can be reused safely across teams.
Partner with enterprise architecture, security, data engineering, analytics, IT operations, quality, and business stakeholders to ensure AI solutions meet enterprise requirements before scale.
Convert prototypes into production-ready services with documented architecture, deployment steps, ownership model, monitoring approach, and support procedures.
Establish practical evaluation harnesses that test factuality, retrieval quality, safety behaviors, workflow completion, and regression risk across releases.
Contribute to Nova's AI control plane and agent ecosystem by building repeatable integration patterns with enterprise systems, data platforms, business applications, and automation tools.
Provide technical leadership to internal engineers and implementation partners, including code review, design review, reusable templates, and implementation playbooks.
Balance speed and governance by building solutions that are useful for the business while preserving security, privacy, auditability, and maintainability.

Qualifications

10+ years hands-on experience building AI, machine learning, automation, data, or modern software applications in enterprise environments.
Strong proficiency with Python or similar programming languages, APIs, cloud services, application integration, CI/CD concepts, and version control.
Deep familiarity with LLMs, RAG patterns, embeddings, vector databases, prompt engineering, agentic workflows, workflow orchestration, and model or application evaluation.
Experience designing or operating AI platform capabilities such as model gateways, agent platforms, shared retrieval services, prompt registries, evaluation pipelines, observability stacks, or reusable deployment frameworks.
Ability to make sound architecture choices across build versus buy, prototype versus production, and centralized platform versus use-case-specific implementation.
Experience documenting technical decisions, tradeoffs, runbooks, operating procedures, and support models in a way that can be maintained by internal teams.
Strong collaboration and communication skills, with the ability to work across business, technical, security, data, and quality stakeholders.
Ability to mentor other technical contributors while remaining hands-on with code, integration, testing, and troubleshooting.

Preferred Experience

Experience with Microsoft Azure, Azure OpenAI, Power Platform, Microsoft Fabric, Databricks, AWS AI services, or modern agent frameworks.
Experience applying AI in regulated, GxP, medical device, diagnostics, healthcare, manufacturing, or other data-sensitive business environments.
Experience with evaluation harnesses, prompt security, model monitoring, agent observability, prompt or policy versioning, and audit-ready AI delivery practices.
Experience with MLOps, LLMOps, platform engineering, infrastructure-as-code, containerized services, service deployment, identity integration, secrets management, and production observability is strongly preferred.
Experience integrating AI applications with enterprise systems such as Microsoft 365, Salesforce, SAP, ServiceNow, document repositories, data warehouses, APIs, or workflow automation platforms.
Familiarity with data governance, information security, identity and access management, privacy, retention, and responsible AI practices.

What Success Looks Like

Priority AI use cases are delivered as working, documented applications or agents that are adopted by target users.
AI solutions are secure, maintainable, monitored, evaluated, and ready for internal ownership after launch.
Reusable code, templates, reference architectures, and implementation playbooks accelerate future AI delivery.
The AI platform provides reusable services, standards, and controls that reduce one-off development and make secure AI delivery faster for future use cases.
Internal engineers and implementation partners follow consistent engineering patterns for AI development, deployment, evaluation, and support.
Business stakeholders experience Data & AI as a strategic partner that helps deliver outcomes, not only as a platform provider.

Benefits and Growth

This is a staff-level role designed for high-impact technical contribution and leadership within Nova's growing Data & AI function. The role offers the opportunity to build foundational AI engineering and AI platform capabilities, influence enterprise AI architecture, create reusable services and operating patterns, mentor technical contributors, and help shape how Nova applies AI responsibly across the business.

Employment terms, work location, schedule, compensation range $230,000-$270,000), and benefits will align with Nova's standard HR practices for the final approved position and posting location.

Equal Opportunity Employer

Nova Biomedical is an Equal Opportunity Employer committed to creating a diverse and inclusive workplace.

https://www.novabiomedical.com/privacy-policy/

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More about this job

Skills

Documentation
Incident response
Cost management
Data engineering
Workflow
Leadership
Python
Programming languages
CI/CD
Collaboration
Communication skills
Troubleshooting
Microsoft Azure
Microsoft Power Platform
Databricks
AWS
Infrastructure as code

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