Software Engineer AI Jobs in Massachusetts
Software Engineer AI jobs in Massachusetts are among the most actively recruited technology roles in the state, concentrated in biotechnology, financial services, defense technology, and enterprise software, with openings at every level from early-career engineers through principal and staff. The greatest density of hiring sits in Greater Boston, Cambridge, and the Route 128 corridor, where employers such as Amazon, Microsoft, and Raytheon Technologies maintain substantial engineering operations. Roles specializing in large language model development, ML infrastructure, and applied NLP see the strongest and most consistent demand. Find a role that fits below and apply directly.
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Showing 5 of 48+ Software Engineer AI 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 48 Software Engineer AI Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Software Engineer AI JobsSoftware Engineer AI Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
Software Engineer AI 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 software engineer AI jobs across Massachusetts.
- Bachelor's or master's degree in computer science, AI, or a closely related engineering field
- Hands-on experience building and deploying machine learning or deep learning models in production
- Proficiency in Python and familiarity with frameworks such as PyTorch or TensorFlow
- Experience working with large language models, fine-tuning, or retrieval-augmented generation pipelines
- Ability to collaborate with cross-functional teams including data scientists, product managers, and platform engineers
- Familiarity with cloud infrastructure on AWS, Azure, or Google Cloud for model training and serving
Software Engineer AI Jobs in Massachusetts: Frequently Asked Questions
How do you become a software engineer ai in Massachusetts?
A bachelor's degree in computer science, artificial intelligence, or a related engineering discipline is the standard starting point for software engineer AI roles in Massachusetts, with many competitive positions preferring or requiring a master's degree. There is no state-issued license required to work as a software engineer AI in Massachusetts. Employers across Greater Boston and the Route 128 corridor look for candidates who can demonstrate applied experience through projects, internships at Massachusetts research institutions, or contributions to open-source AI work.
How much do software engineer AIs make in Massachusetts?
Software engineer AIs 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 software engineer ais in Massachusetts?
Employers hiring software engineer ais in Massachusetts right now include suno, Plymouth Rock Assurance, and UKG, based on current listings on Migrate Mate as of November 2026. Massachusetts's concentration of biotech firms, defense contractors, and enterprise software companies means demand is spread across both large corporations and well-funded startups headquartered in the greater Boston area.
Which Massachusetts cities have the most software engineer ai jobs?
Boston, Cambridge, and Waltham account for the largest share of software engineer AI openings in Massachusetts. Boston and Cambridge drive the bulk of listings due to their dense cluster of technology companies, research hospitals, and university-affiliated AI labs, while the Route 128 suburbs capture significant demand from defense technology and enterprise software employers that have long anchored that corridor.
Are there remote software engineer ai jobs in Massachusetts?
Yes, and more than most fields. About 68% of software engineer AI openings tied to Massachusetts are remote or hybrid as of November 2026, reflecting how well-suited the work is for distributed collaboration. The parts of the role most likely to remain fully remote are model development, research, and code review, while positions involving on-site infrastructure or collaboration with hardware teams are more likely to require in-person work.
How can I get hired as a software engineer ai in Massachusetts with little or no experience?
The most realistic entry path is a new-graduate or associate AI engineer role, often posted by Massachusetts employers such as Amazon, Raytheon Technologies, and the research divisions of major Boston-area hospitals and universities. Building a demonstrable portfolio of machine learning projects, contributing to open-source repositories, or completing a graduate certificate in AI from a Massachusetts institution such as MIT or Northeastern can meaningfully strengthen an application. Lateral moves from roles such as data analyst, software engineer, or ML operations specialist are also a common door into dedicated AI engineering positions.
Where can I find and apply to software engineer ai jobs in Massachusetts?
You can find and apply to software engineer AI jobs in Massachusetts on Migrate Mate, which lists current openings across Greater Boston, Cambridge, the Route 128 corridor, and beyond. Search the listings, find roles that match your experience and preferences, and apply directly to the ones that fit.
See All 48 Software Engineer AI Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Software Engineer AI Jobs