CrawlJobs Logo

Lead AI Safety and Enablement Engineer

exactsciences.com Logo

Exact Sciences

Location Icon

Location:
United States , Madison

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

147000.00 - 250000.00 USD / Year
Save Job
Save Icon
Apply Position

Job Description:

The Lead AI Safety and Enablement Engineer ensures the safe, reliable and scalable use of AI and machine learning across Exact Sciences. This role focuses on developing and implementing systems, tools, and frameworks that embed responsible AI principles into the organization’s technology ecosystem. The position combines software engineering expertise with a strong understanding of AI risk management, compliance, and observability.

Job Responsibility:

  • Support implementation of enterprise standards for AI safety, transparency, and reliability
  • Develop and maintain shared AI safety tools such as model catalogs, metadata registries, and monitoring systems for bias, drift, and performance
  • Build APIs, templates, and SDKs that integrate governance and validation into AI/ML development pipelines
  • Contribute to the design of observability and telemetry solutions for continuous monitoring of model and data quality
  • Collaborate with Legal, Privacy, Compliance, and InfoSec teams to translate AI policies into automated controls and technical safeguards
  • Work with ML and GenAI teams to embed validation and safety checkpoints in AI workflows
  • Participate in cross-functional reviews and discussions supporting AI governance and responsible AI practices
  • Promote awareness and adoption of responsible AI principles through tools, documentation, and knowledge sharing
  • Support and comply with the company’s Quality Management System policies and procedures
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork
  • Maintain regular and reliable attendance
  • Ability to act with an inclusion mindset and model these behaviors for the organization

Requirements:

  • Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field
  • 8 years of experience in software, ML systems, or platform engineering
  • Practical experience with AI lifecycle tools (e.g., MLflow, Arize, WhyLabs, Label Studio)
  • Proficiency in Python, CI/CD processes, and cloud platforms (AWS, Azure, or GCP)
  • Experience developing scalable and compliant ML systems and tools
  • Applicants must be currently authorized to work in country where work will be performed on a full or part-time basis

Nice to have:

  • Master’s degree in Computer Science, Data Engineering, or AI
  • Experience implementing AI assurance, observability, or risk management frameworks
  • Knowledge of GenAI, LLM evaluation, and prompt safety practices
  • Familiarity with FDA, HIPAA, or GxP compliance standards
What we offer:
  • Relocation assistance provided to those not local to the area and willing to relocate
  • Paid time off (including days for vacation, holidays, volunteering, and personal time)
  • Paid leave for parents and caregivers
  • A retirement savings plan
  • Wellness support
  • Health benefits including medical, prescription drug, dental, and vision coverage
  • Bonus eligible

Additional Information:

Job Posted:
January 24, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Icon
Exact Sciences - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Lead AI Safety and Enablement Engineer

Research Engineer AI

The role involves conducting high-quality research in AI and HPC, shaping future...
Location
Location
United Kingdom , Bristol
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A good working knowledge of AI/ML frameworks, at least TensorFlow and PyTorch, as well as the data preparation, handling, and lineage control, as well as model deployment, in particular in a distributed environment
  • At least a B.Sc. equivalent in a Science, Technology, Engineering or Mathematical discipline
  • Development experience in compiled languages such as C, C++ or Fortran and experience with interpreted environments such as Python
  • Parallel programming experience, with relevant programming models such as OpenMP, MPI, CUDA, OpenACC, HIP, PGAS languages is highly desirable
Job Responsibility
Job Responsibility
  • Perform world-class research while also shaping products of the future
  • Enable high performance AI software stacks on supercomputers
  • Provide new environments/abstractions to support application developers to build, deploy, and run AI applications taking advantage of leading-edge hardware at scale
  • Manage modern data-intensive AI training and inference workloads
  • Port and optimize workloads of key research centers like the AI safety institute
  • Support onboarding and scaling of domain-specific applications
  • Foster collaboration with the UK and European research community
What we offer
What we offer
  • Health & Wellbeing benefits that support physical, financial and emotional wellbeing
  • Career development programs catered to achieving career goals
  • Unconditional inclusion in the workplace
  • Flexibility to manage work and personal needs
  • Fulltime
Read More
Arrow Right

Engineering Manager, Evidence Local

At Axon, our mission is to protect life and preserve truth. As an Engineering Ma...
Location
Location
Vietnam , Ho Chi Minh City
Salary
Salary:
Not provided
axon.com Logo
Axon
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of professional software engineering experience (ideally in product-focused environments)
  • 3+ years as an engineering manager/lead, including direct people management and development
  • Demonstrated experience in architectural design and distributed systems, paired with a deep focus on resiliency engineering, operational excellence, and architectural vision
  • Proven success leading teams to deliver complex, ambiguous projects on time and to spec
  • Demonstrated ability to improve engineering processes across security, quality, releases, and incident management
  • Excellent communication and collaboration skills
  • comfortable working with global teams
Job Responsibility
Job Responsibility
  • Build and lead a high-performance engineering team in Ho Chi Minh City, developing talent, mentoring future leaders, and creating an environment where AI-enabled engineering excellence thrives
  • Drive end-to-end technical execution for major product initiatives, roadmap-defining features, and contract-critical capabilities - from large-scale deployments and advanced security to device interoperability and cloud/on-prem hybrid operational workflows
  • Drive the scalability, resilience, and reliability of a mission-critical platform, ensuring it performs flawlessly from small single-server agencies to complex, multi-node, large-scale environments supporting thousands of devices and real time capabilities
  • Collaborate deeply across Axon’s global engineering organization, advocating for the needs of AEL, influencing cross-team architecture, and driving alignment on shared outcomes
  • Partner with product and global cross-functional stakeholders to define the roadmap, priorities, and key customer requirements, balancing feature development with operational excellence
  • Oversee operational and on-call processes, own production health, escalations, incident response, and post-incident reviews
  • Champion a deep understanding of customer workflows, pain points, and operational environments, ensuring engineering decisions are grounded in real-world use cases
What we offer
What we offer
  • Medical and Dental Insurance and cover your family up to 3 members
  • Vision Insurance
  • Robust Paid Time Off policy
  • Bonuses
  • Lunch allowance
  • Cell phone stipend
  • Free LinkedIn Learning/Udemy account
  • Access to 24/7 online emotional and mental support
  • Gym membership
  • Free parking
  • Fulltime
Read More
Arrow Right

Staff Software Engineer – Forward Deployed

We are seeking a skilled Software Engineer who will design, build, and maintain ...
Location
Location
China , Shanghai; Dalian; Wuhan
Salary
Salary:
Not provided
pfizer.de Logo
Pfizer
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, or related field with 8-12 years of relevant experience
  • AI-Augmented Development: optimize AI tool usage, train engineers on AI-augmented workflows, evaluate new AI development tools, establish practices that balance AI speed with verification rigor
  • Business Immersion: rapidly acquire domain expertise, translate between business and engineering, mentor engineers on immersion
  • Data Integration: navigate complex enterprise data landscapes, build relationships to gain data access, handle undocumented schemas, build robust integration solutions, mentor engineers on data integration
  • Full-Stack Development: build complete applications rapidly across any technology stack, select the right tools, balance technical debt with delivery speed, mentor engineers on full-stack development
  • Multi-Audience Communication: influence through communication at all levels, handle difficult conversations skillfully, train engineers on effective communication, represent teams across the function
  • Problem Discovery: seek out undefined problems, embed with users to discover latent needs, coach engineers on problem discovery techniques, turn ambiguity into clear problem statements
  • Rapid Prototyping & Validation: lead rapid delivery initiatives, coach on prototype-first approaches, establish trust through consistent fast delivery, define clear criteria for prototype-to-production transitions
  • Site Reliability Engineering: define reliability standards, drive post-incident improvements systematically, design capacity planning processes, mentor engineers on SRE practices
  • Stakeholder Management: influence senior stakeholders, manage complex stakeholder landscapes with competing agendas, build trust rapidly with new stakeholders, shield teams from organizational friction
Job Responsibility
Job Responsibility
  • Delivery: Lead technical delivery of complex projects across multiple teams, unblock others through hands-on contributions, ensure engineering quality
  • AI: Design AI-augmented engineering workflows for your area, evaluate new AI tools, train engineers on effective AI usage, balance speed with verification
  • People: Coach multiple engineers on career growth, lead hiring for technical roles across your area, shape team technical culture
  • Business: Drive business outcomes through technical solutions across your area, influence product roadmaps, partner effectively with business stakeholders
  • Process: Drive process efficiency within your team, coordinate cross-functional technical work, lead retrospectives
  • Documentation: Design documentation strategies for your projects, ensure knowledge persists beyond individuals, write specifications that enable effective collaboration
  • Fulltime
Read More
Arrow Right

Senior Policy Manager

The Digital Safety Unit sits within Microsoft’s Corporate, External and Legal Af...
Location
Location
United States , Redmond
Salary
Salary:
105800.00 - 204000.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's Degree AND 3+ years work experience in trust and safety, corporate affairs, legal affairs or related area
  • OR Bachelor's Degree AND 4+ years work experience in trust and safety, corporate affairs, legal affairs or related area
  • OR equivalent experience
  • Experience with product policy or AI safety
  • Experience drafting and managing trust and safety policies or programs
  • Experience managing a Digital Safety, trust and safety, or related program
  • Experience working in or with a large, matrixed organization
Job Responsibility
Job Responsibility
  • Lead safety by design assessments for consumer products, especially AI-driven services, by setting safety requirements, developing risk mitigation initiatives, and managing case reviews
  • Collaborate with engineering teams to evaluate product releases for digital safety risks related to AI, offer mitigation guidance, and ensure adherence to Microsoft’s Safety by Design principles
  • Partner with other teams, including ORA and DSB, to support incorporation of Digital Safety product policies into existing workstreams to drive efficiencies
  • Develop insights and identify patterns in consumer-hosted services to provide actionable risk mitigation guidance and general policy updates
  • Assess product use cases and AI deployments to create scalable, generalizable policies that address risks and impacts of harmful content across diverse social contexts
  • Manage, document, and drive progress to uphold responsible Digital Safety requirements across a diverse group of Microsoft engineering, sales, and research teams
  • Analyze global safety challenges and support the development of Digital Safety governance frameworks including creating specific Product Policies
  • Ensure these frameworks incorporate AI-specific considerations and enable consistent application across Microsoft’s product portfolio
  • Build relationships to orchestrate and integrate Digital Safety guidance into product and feature development
  • Lead implementation efforts for safety partnerships and cross-functional projects
  • Fulltime
Read More
Arrow Right

Senior Principal Machine Learning Engineer

You’ll form a new team of passionate engineers dedicated to building and scaling...
Location
Location
United States
Salary
Salary:
222300.00 - 348975.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Mathematics, or a related field, or equivalent practical experience
  • 12+ years of industry experience in machine learning, data science, or AI, with a proven track record of delivering production-grade ML systems
  • Deep expertise in Python, Go, or Java, with the ability to write performant, production-quality code
  • familiarity with SQL, Spark, and cloud data environments (e.g., AWS, GCP, Databricks)
  • Experience building and scaling ML models for business-critical applications, ideally in security, privacy, anti-abuse, or compliance domains
  • Strong communication skills, able to explain complex ML concepts to diverse audiences and influence stakeholders
  • Demonstrated ability to solve ambiguous, complex problems and drive projects from ideation to production
  • Agile development mindset, with a focus on iterative improvement and business impact
Job Responsibility
Job Responsibility
  • Lead AI/ML Strategy for Trust: Drive the development and implementation of advanced machine learning algorithms and AI systems for Trust, Security, Product Abuse, and Compliance use cases (e.g., threat detection, vulnerability management, privacy automation, AI safety)
  • Architect and Scale ML Platforms: Design and build scalable, secure, and reliable ML infrastructure and pipelines, ensuring compliance with privacy and regulatory requirements
  • AI Safety and Responsible AI: Develop and champion AI safety practices, including output moderation, explainability, and alignment with evolving regulatory frameworks
  • Cross-Functional Collaboration: Partner with product, engineering, security, privacy, and analytics teams to deliver transformative AI/ML solutions that enhance Atlassian’s trust posture
  • Mentorship and Leadership: Mentor and guide ML engineers and data scientists, fostering a culture of technical excellence, innovation, and continuous improvement
  • Innovation and Research: Stay at the forefront of AI/ML research, evaluating and applying the latest techniques (e.g., LLMs, anomaly detection, privacy-preserving ML) to real-world Trust challenges
  • Platform Enablement: Build reusable ML services and APIs that empower other teams to integrate AI/ML into their products and workflows
  • Operational Excellence: Ensure high availability, reliability, and security of all ML-powered Trust platforms and services
What we offer
What we offer
  • health and wellbeing resources
  • paid volunteer days
  • benefits, bonuses, commissions, and equity
  • Fulltime
Read More
Arrow Right

Staff AI Embedded Software Engineer - Connected Devices

As a Staff Embedded Software Engineer, you will lead critical software engineeri...
Location
Location
United States , Seattle; Boston; Scottsdale
Salary
Salary:
168750.00 - 270000.00 USD / Year
axon.com Logo
Axon
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 12+ years of professional software development experience, with extensive expertise in C/C++, Go, Python, or comparable systems programming languages, including significant experience building AI- and data-intensive systems
  • Deep, demonstrated expertise in embedded systems architecture, firmware integration, and device-level software engineering, combined with hands-on experience deploying and optimizing AI inference workloads on constrained edge platforms (MCUs, SoCs, NPUs)
  • Proven experience designing, training, and operating machine learning models at scale, including ownership of data pipelines, model evaluation, and iterative improvement in production environments
  • Practical experience with large-scale AI systems, including foundation models and LLMs, such as fine-tuning, adaptation, or integration into real-world products
  • Proven track record of addressing and resolving system-wide challenges in performance, scalability, reliability, security, and safety across AI-enabled and mission-critical systems
  • At least 7+ years mentoring senior engineers and leading complex, strategic engineering initiatives across multiple teams, including setting technical direction for AI-enabled products
  • Advanced understanding of computer science fundamentals, data structures, algorithms, and high-standard software design practices, applied to both embedded and large-scale AI systems
  • Experience with networking and distributed system concepts relevant to connected and AI-enabled devices
Job Responsibility
Job Responsibility
  • Define and significantly advance embedded software architectures for Axon’s current and future connected device products, including AI-enabled systems spanning on-device inference and cloud-assisted workflows
  • Lead the technical direction for AI-enabled capabilities across connected devices, including collaboration on large-scale model training, data strategy, deployment, and iterative improvement in production, across multiple product lines
  • Partner with research, product, and platform teams to explore and integrate emerging AI approaches, including foundation models and multimodal systems, shaping Axon’s medium and long-term AI strategy for connected devices
  • Establish and enforce Axon-wide standards for embedded software and AI system design, including reliability, scalability, safety, observability, and lifecycle management
  • Identify and mitigate risks associated with AI systems, including model failure modes, data drift, and operational edge cases, and drive architectural decisions that ensure safe and reliable behavior in real-world conditions
  • Provide executive-level guidance and mentorship, significantly enhancing the capabilities and technical decision-making of the embedded software engineering teams
  • Continuously improve software engineering practices and drive excellence through strategic retrospectives, planning sessions, and innovation cycles
What we offer
What we offer
  • Competitive salary and 401k with employer match
  • Discretionary paid time off
  • Paid parental leave for all
  • Medical, Dental, Vision plans
  • Fitness Programs
  • Emotional & Mental Wellness support
  • Learning & Development programs
  • Snacks in our offices
  • Fulltime
Read More
Arrow Right
New

Director of AI Engineering

At JFrog, we’re reinventing DevOps and shaping how software is delivered, helpin...
Location
Location
Israel , Netanya/Tel Aviv
Salary
Salary:
Not provided
jfrog.com Logo
JFrog
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in software engineering
  • at least 5 years in leadership roles managing diverse R&D teams
  • proficiency in software development: strong experience in building and managing scalable systems using languages such as Go, Python, Java, or Node.js
  • proven track record of delivering scalable cloud / SaaS services, operating in multi-cloud (AWS, Azure, GCP) and hybrid-cloud environments
  • experience leading AI product (assistants, copilots, LLM-integrated workflows)
  • exceptional leadership, communication, stakeholder, and customer management skills
  • passion for empowering developers and enabling productivity through platform engineering
  • DevOps / DevSecOps experience — strong advantage
  • growth mindset, with continuous learning in AI and agentic technologies
Job Responsibility
Job Responsibility
  • Lead the engineering group delivering AI capabilities across the JFrog platform, powering customer-facing agentic experiences at scale
  • shape the vision and drive the execution for JFrog AI Assistant, MCP Server, and platform-wide agent workflows
  • ship enterprise-grade AI—secure, reliable, and observable—running in SaaS and self-hosted environments
  • define the quality bar for AI delivery, including evaluation, safety guardrails, and continuous improvement loops
  • stay ahead of LLMs, AI agents, and DevOps automation trends, translating innovation into platform differentiation
  • build and mentor high-performing teams and a culture of execution, automation, and continuous improvement
  • partner with Product, Security, and engineering leaders to drive adoption and make measurable customer impact
Read More
Arrow Right

Lead Data Scientist - Agentic AI - Patient Safety

We’re building a world of health around every individual — shaping a more connec...
Location
Location
United States
Salary
Salary:
130295.00 - 284280.00 USD / Year
https://www.cvshealth.com/ Logo
CVS Health
Expiration Date
March 15, 2026
Flip Icon
Requirements
Requirements
  • 5+ years of experience in advanced analytics, applied AI/ML, or decision science, with significant work in healthcare, pharmacy, or patient safety
  • 3+ years of hands‑on experience building and deploying solutions with LLMs, generative AI, or conversational AI frameworks (e.g., LangChain, AutoGen, CrewAI, RAG), including prompt engineering, fine‑tuning, safety guardrails, and human‑in‑the‑loop workflows
  • prior NLP/ML experience before LLMs is strongly valued
  • 5+ years of programming experience in Python and SQL, with experience deploying AI solutions in cloud environments (GCP, AWS, or Azure) and integrating with enterprise data platforms
  • 5+ years’ experience in at least one area of advanced modeling for patient safety and pharmacy operations: predictive modeling for medication safety, medication error detection, non‑adherence prediction, time‑series forecasting, causal inference, or reinforcement learning for workflow optimization
  • 3+ years’ experience translating complex AI and safety analytics into measurable clinical and business impact, including working with pharmacy leaders, clinical safety, and compliance partners
  • 3+ years’ experience leading end‑to‑end AI solution delivery: from data curation and model development through validation, deployment, monitoring, and scaled adoption across retail pharmacy locations
  • Demonstrated ability to communicate complex concepts to technical and non‑technical stakeholders, with a track record of building intuitive tools for pharmacists, technicians, clinicians, and call‑center agents
  • Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline
Job Responsibility
Job Responsibility
  • Building and scaling generative AI and agentic AI solutions that enhance medication safety, strengthen clinical decision‑making, and improve pharmacy workflows
  • Designing and executing a safety‑first, consumer‑centric analytics strategy powered by AI agents and LLMs that integrates prescribing, dispensing, adherence, and engagement data to deliver proactive insights and closed‑loop support for pharmacy teams
  • Partnering with pharmacy operations, clinical, digital, and technology teams to ensure our tech‑enabled pharmacy remains powered by people, supporting colleagues with intelligent tools while advancing CVS Health’s purpose to simplify health care and improve the health and well‑being of those we serve
What we offer
What we offer
  • Affordable medical plan options
  • 401(k) plan (including matching company contributions)
  • Employee stock purchase plan
  • No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
  • Paid time off
  • Flexible work schedules
  • Family leave
  • Dependent care resources
  • Colleague assistance programs
  • Tuition assistance
  • Fulltime
!
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy