Senior AI Software Engineer Jobs in Massachusetts
Senior AI Software Engineer jobs in Massachusetts are among the most active in the country, concentrated in biotech, robotics, defense technology, and enterprise software across a market that ranges from mid-level practitioners to principal engineers leading research teams. Boston, Cambridge, and the Route 128 corridor are the primary hiring hubs, with established employers like Raytheon Technologies, MathWorks, and Mass General Brigham consistently building out AI and machine learning capabilities. The most in-demand specialties include large language model development, computer vision, and MLOps infrastructure. Find a role that fits below and apply directly.
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Showing 5 of 28+ Senior AI Software Engineer jobs
Company and benefits
Why UKG:
At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do.
We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you.
***UKG is unable to offer sponsorship for this position.***
Sr. Staff Software Engineer - Agentic Acceleration Group
We are seeking an exceptional Principal Software Engineer to define and drive our enterprise-wide agentic AI strategy on Google's Agent Development Kit (ADK) and other agentic platforms. You will shape the future of intelligent automation across UKG's product portfolio, influence technical direction across multiple engineering organizations, and establish UKG as a thought leader in enterprise agentic AI. As a Sr. Staff Engineer, you will set technical vision, architect organization-wide systems, drive transformational change, and elevate engineering excellence company-wide.
- Strategic Technical Leadership: Define enterprise-wide technical strategy for agentic AI across UKG. Set long-term vision for how agents transform UKG's HCM platform. Influence product roadmaps and business strategy through technical insight. Drive division-level or company-level objectives.
- Enterprise Architecture: Architect organization-wide agentic AI capabilities on Google ADK and other platforms. Design foundational frameworks, orchestration patterns, and platform capabilities that serve multiple product teams. Set architectural standards and best practices for agent development across the organization.
- Cross-Organizational Influence: Drive technical decisions across multiple teams and divisions. Set standards for agent development, tool design, safety frameworks, and operational excellence. Shape engineering culture and technical direction at scale.
- Advanced Agent Systems: Pioneer sophisticated multi-agent architectures including hierarchical systems, swarm intelligence, adversarial networks, and hybrid human-agent workflows. Push boundaries of what's possible with agent orchestration. Demonstrate engineering excellence through industry-leading implementations.
- Innovation & Research: Stay at the forefront of agentic AI research. Evaluate emerging platforms and techniques. Prototype breakthrough capabilities. Drive adoption of transformative technologies. Contribute to industry knowledge through publications, open source, or conference presentations.
- Agent Safety & Governance: Establish organization-wide frameworks for agent safety, governance, and responsible AI. Design policy engines and guardrail architectures that scale across all systems. Influence company-wide AI safety policy and regulatory compliance standards.
- Platform Integration: Design integrations between agents and UKG's entire enterprise ecosystem. Build strategic tools, APIs, and MCP servers that unlock capabilities across products. Define integration patterns that scale across teams and product lines.
- Service Excellence: Define service health, quality, and operational standards for all agentic systems. Establish monitoring, observability, and incident response frameworks. Set the bar for production excellence, reliability, and cost efficiency.
- Mentorship & Talent Development: Mentor senior engineers, lead engineers, and engineering managers. Raise the technical bar through code reviews, design reviews, and architectural guidance. Build the next generation of technical leaders. Recognized as go-to expert and trusted advisor.
- Thought Leadership: Represent UKG externally as a technical expert. Publish articles, present at conferences, contribute to open source, and engage with the AI engineering community. Establish UKG's technical reputation and attract top talent.
- Strategic Partnerships: Engage with technology partners (Google, Anthropic) to influence platform roadmaps. Represent UKG in technical advisory relationships. Leverage partnerships to drive internal innovation.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field (or equivalent experience).
- 10+ years of professional software development experience, with 3+ years building agentic AI systems or LLM-powered applications in production at scale.
- Deep expertise in Python, Java, C#, JavaScript, or TypeScript, with track record of setting coding standards and best practices.
- Proven experience architecting and building production agents using Google ADK, Anthropic Claude SDK, LangChain, LangGraph, or similar platforms.
- Expert-level understanding of prompt engineering, context engineering, and advanced agent design patterns (ReAct, Chain-of-Thought, constitutional AI, multi-agent collaboration).
- Track record of influencing technical direction across multiple teams or organizations. Demonstrated ability to set architectural standards and drive adoption.
- Proven ability to lead highly complex, cross-functional initiatives with significant business impact.
- Deep expertise with GCP (Vertex AI, Google ADK), Azure (Azure OpenAI), or AWS (Bedrock), and modern DevOps practices.
- Exceptional problem-solving skills, systems thinking, and ability to navigate complex technical and organizational challenges.
- Outstanding leadership, communication, and influence skills. Ability to drive technical decisions across senior stakeholders and executive audiences.
- Demonstrated track record of mentoring senior engineers and raising the technical bar across organizations.
Company Overview:
UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge. Learn more at ukg.com.
Equal Opportunity Employer
UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories.
View The EEO Know Your Rights poster
UKG participates in E-Verify.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Disability Accommodation in the Application and Interview Process
For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com.
The pay range for this position is $145,600 to $209,300. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation. Learn more about UKG’s benefits and rewards at https://www.ukg.com/about-us/careers/benefits
UKG will never ask you for a copy of your driver’s license, social security card, or passport during a job inter
All job descriptions are written to accurately reflect the open job and include general work responsibilities. They do not present a comprehensive, detailed inventory of all duties, responsibilities, and qualifications required for the job. Management reserves the right to revise the job or require that other or different tasks be performed if or when circumstances change.
Company and benefits
Why UKG:
At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do.
We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you.
***UKG is unable to offer sponsorship for this position.***
Sr. Staff Software Engineer - Agentic Acceleration Group
We are seeking an exceptional Principal Software Engineer to define and drive our enterprise-wide agentic AI strategy on Google's Agent Development Kit (ADK) and other agentic platforms. You will shape the future of intelligent automation across UKG's product portfolio, influence technical direction across multiple engineering organizations, and establish UKG as a thought leader in enterprise agentic AI. As a Sr. Staff Engineer, you will set technical vision, architect organization-wide systems, drive transformational change, and elevate engineering excellence company-wide.
- Strategic Technical Leadership: Define enterprise-wide technical strategy for agentic AI across UKG. Set long-term vision for how agents transform UKG's HCM platform. Influence product roadmaps and business strategy through technical insight. Drive division-level or company-level objectives.
- Enterprise Architecture: Architect organization-wide agentic AI capabilities on Google ADK and other platforms. Design foundational frameworks, orchestration patterns, and platform capabilities that serve multiple product teams. Set architectural standards and best practices for agent development across the organization.
- Cross-Organizational Influence: Drive technical decisions across multiple teams and divisions. Set standards for agent development, tool design, safety frameworks, and operational excellence. Shape engineering culture and technical direction at scale.
- Advanced Agent Systems: Pioneer sophisticated multi-agent architectures including hierarchical systems, swarm intelligence, adversarial networks, and hybrid human-agent workflows. Push boundaries of what's possible with agent orchestration. Demonstrate engineering excellence through industry-leading implementations.
- Innovation & Research: Stay at the forefront of agentic AI research. Evaluate emerging platforms and techniques. Prototype breakthrough capabilities. Drive adoption of transformative technologies. Contribute to industry knowledge through publications, open source, or conference presentations.
- Agent Safety & Governance: Establish organization-wide frameworks for agent safety, governance, and responsible AI. Design policy engines and guardrail architectures that scale across all systems. Influence company-wide AI safety policy and regulatory compliance standards.
- Platform Integration: Design integrations between agents and UKG's entire enterprise ecosystem. Build strategic tools, APIs, and MCP servers that unlock capabilities across products. Define integration patterns that scale across teams and product lines.
- Service Excellence: Define service health, quality, and operational standards for all agentic systems. Establish monitoring, observability, and incident response frameworks. Set the bar for production excellence, reliability, and cost efficiency.
- Mentorship & Talent Development: Mentor senior engineers, lead engineers, and engineering managers. Raise the technical bar through code reviews, design reviews, and architectural guidance. Build the next generation of technical leaders. Recognized as go-to expert and trusted advisor.
- Thought Leadership: Represent UKG externally as a technical expert. Publish articles, present at conferences, contribute to open source, and engage with the AI engineering community. Establish UKG's technical reputation and attract top talent.
- Strategic Partnerships: Engage with technology partners (Google, Anthropic) to influence platform roadmaps. Represent UKG in technical advisory relationships. Leverage partnerships to drive internal innovation.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field (or equivalent experience).
- 10+ years of professional software development experience, with 3+ years building agentic AI systems or LLM-powered applications in production at scale.
- Deep expertise in Python, Java, C#, JavaScript, or TypeScript, with track record of setting coding standards and best practices.
- Proven experience architecting and building production agents using Google ADK, Anthropic Claude SDK, LangChain, LangGraph, or similar platforms.
- Expert-level understanding of prompt engineering, context engineering, and advanced agent design patterns (ReAct, Chain-of-Thought, constitutional AI, multi-agent collaboration).
- Track record of influencing technical direction across multiple teams or organizations. Demonstrated ability to set architectural standards and drive adoption.
- Proven ability to lead highly complex, cross-functional initiatives with significant business impact.
- Deep expertise with GCP (Vertex AI, Google ADK), Azure (Azure OpenAI), or AWS (Bedrock), and modern DevOps practices.
- Exceptional problem-solving skills, systems thinking, and ability to navigate complex technical and organizational challenges.
- Outstanding leadership, communication, and influence skills. Ability to drive technical decisions across senior stakeholders and executive audiences.
- Demonstrated track record of mentoring senior engineers and raising the technical bar across organizations.
Company Overview:
UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge. Learn more at ukg.com.
Equal Opportunity Employer
UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories.
View The EEO Know Your Rights poster
UKG participates in E-Verify.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Disability Accommodation in the Application and Interview Process
For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com.
The pay range for this position is $145,600 to $209,300. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation. Learn more about UKG’s benefits and rewards at https://www.ukg.com/about-us/careers/benefits
UKG will never ask you for a copy of your driver’s license, social security card, or passport during a job inter
All job descriptions are written to accurately reflect the open job and include general work responsibilities. They do not present a comprehensive, detailed inventory of all duties, responsibilities, and qualifications required for the job. Management reserves the right to revise the job or require that other or different tasks be performed if or when circumstances change.
See All 28 Senior AI Software Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find JobsSenior AI Software Engineer Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
Senior AI Software Engineer Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Insurance
- Healthcare & Medical Services
- Biotechnology & Pharmaceuticals
What Massachusetts Employers Look For
The qualifications that appear most often in senior AI software engineer jobs across Massachusetts.
- Bachelor's or master's degree in computer science, machine learning, or a closely related field
- Five or more years of hands-on experience building and deploying production AI or ML systems
- Deep proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX
- Experience designing MLOps pipelines, model monitoring, and scalable inference infrastructure
- Demonstrated ability to lead technical projects and mentor junior engineers on AI teams
- Familiarity with cloud platforms including AWS, Azure, or Google Cloud for AI workload deployment
Senior AI Software Engineer Jobs in Massachusetts: Frequently Asked Questions
How do you become a senior ai software engineer in Massachusetts?
There is no state-issued license required to work as a senior ai software engineer in Massachusetts. The typical path starts with a bachelor's degree in computer science, mathematics, or a related field, though many employers in Boston and Cambridge prioritize demonstrated ML experience and a strong project portfolio over credentials alone. Progressing to a senior role generally requires several years building production AI systems, contributing to open-source projects or research, and ideally completing graduate coursework or a master's degree to compete for positions at research-intensive employers.
How much do senior AI software engineers make in Massachusetts?
Senior AI software engineers in Massachusetts earn a median of about $165,210 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $102,810 for the lowest 10% to over $213,970 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior ai software engineers in Massachusetts?
Employers hiring senior ai software engineers in Massachusetts right now include Plymouth Rock Assurance, suno, and CarGurus, based on current listings on Migrate Mate as of November 2026. Massachusetts's concentration of biotech firms, defense contractors, and university-affiliated research institutions makes it one of the more varied hiring environments for AI engineers in the country.
Which Massachusetts cities have the most senior ai software engineer jobs?
Boston, Cambridge, and Waltham have the most senior ai software engineer openings in Massachusetts. Boston and Cambridge dominate because of the density of research hospitals, biotech companies, and technology firms anchored near MIT and Harvard, while suburban Route 128 corridor cities like Waltham and Burlington host major defense and enterprise software employers that maintain large engineering headcounts.
Are there remote senior ai software engineer jobs in Massachusetts?
Yes, and more than most fields. About 60% of senior ai software engineer openings tied to Massachusetts are remote or hybrid as of November 2026, reflecting how effectively AI engineering work translates to distributed teams. Model development, research, and data pipeline work are the most commonly offered remote functions, while roles requiring close collaboration with hardware or embedded systems teams tend to require on-site presence.
How can I get hired as a senior ai software engineer in Massachusetts with little or no experience?
The most realistic entry path is a junior or associate machine learning engineer role, which large Massachusetts employers like Raytheon Technologies, MathWorks, and Boston-area biotech firms post regularly for candidates with strong academic projects or internship experience. Building a public GitHub portfolio of end-to-end ML projects is the single most effective credential substitute. Adjacent roles in data engineering, software engineering, or research assistance at university labs affiliated with MIT, Harvard, or Northeastern frequently serve as the on-ramp into applied AI positions at the same organizations.
Where can I find and apply to senior ai software engineer jobs in Massachusetts?
You can find and apply to senior ai software engineer jobs in Massachusetts on Migrate Mate, which lists current Massachusetts openings updated regularly. Find the roles that fit your experience and apply directly to the employers posting them.
See All 28 Senior AI Software Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
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