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Assistant Prompt Engineering Jobs in Massachusetts

Senior AI Engineer

Boston, MA · On-site

$125 - $150/hr

Build AI Agent and Chat Capabilities - Develop AI-powered assistants using cutting‑edge ... Familiarity with LLMs and NLP techniques, including prompt engineering, fine‑tuning, and ...

... AI coding assistants and software engineering agents across engineering teams * Demonstrated ... Prompt engineering and prompt iteration * Tool use and API integration for AI agents * Multi-step ...

... AI coding assistants and software engineering agents across engineering teams * Demonstrated ... Prompt engineering and prompt iteration * Tool use and API integration for AI agents * Multi-step ...

Senior Software Developer

Boston, MA · On-site

$150 - $200/hr

Advanced comfort using AI coding assistants to drive efficiency - experience in "prompt engineering" for code generation and debugging is highly valued. * Strong problem‑solving skills and the ...

Principal Data Analyst

Boston, MA · On-site

$125 - $150/hr

... customer. * Assist stakeholders in defining metrics that are impactful to the business ... prompt engineering and code generation). Qualifications * Strong written and oral communication ...

New

Senior AI Engineer

Concord, MA · On-site

$114K - $157K/yr

... assistants and agentic workflows. * Partner with Product Management and product teams to translate ... Hands-on familiarity with Prompt Engineering by leveraging LLM frameworks such as LangChain.

Familiarity with Gen AI tools and prompt engineering is a plus to support evolving business needs ... assistants, copilots, chatbots, SaaS-based AI solutions, and agentic AI technologies. * Knowledge ...

Senior AI Engineer

Concord, MA · On-site

$114K - $157K/yr

... assistants and agentic workflows. * Partner with Product Management and product teams to translate ... Hands-on familiarity with Prompt Engineering by leveraging LLM frameworks such as LangChain.

Showing results 21-40

Assistant Prompt Engineering information

What is the difference between Assistant Prompt Engineering vs Prompt Engineer?

AspectAssistant Prompt EngineeringPrompt Engineer
Required CredentialsTypically a bachelor's degree in computer science, AI, or related fieldsSimilar, often requiring advanced knowledge in AI and programming
Work EnvironmentSupportive, collaborative teams working on AI projectsFocused on designing and optimizing prompts for AI models
Industry UsageCommon in AI startups, tech companies, and research labsPrimarily in AI development, NLP, and machine learning sectors
Search & Comparison IntentUnderstanding entry-level roles assisting prompt designSpecialized role for prompt optimization and AI interaction

Assistant Prompt Engineering roles typically involve supporting prompt design and require similar credentials as Prompt Engineers. While assistants focus on collaboration and support, Prompt Engineers are more specialized in creating and refining prompts for AI models. Both roles are prevalent in AI and tech industries, with assistants often serving as entry points into prompt-related work.

What are the most commonly searched types of Prompt Engineering jobs in Massachusetts?

The most popular types of Prompt Engineering jobs in Massachusetts are:

What are popular job titles related to Assistant Prompt Engineering jobs in Massachusetts?

For Assistant Prompt Engineering jobs in Massachusetts, the most frequently searched job titles are:

Infographic showing various Assistant Prompt Engineering job openings in Massachusetts as of June 2026, with employment types broken down into 84% Full Time, 14% Part Time, 1% Temporary, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Program Manager - AI-Driven Quality Engineering Transformation (Life Insurance)

Cognizant Technology Solutions

Boston, MA • On-site

$96K - $153K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Key responsibilities

  • Lead enterprise-wide Quality Engineering transformation programs, defining strategy, roadmaps, governance models, and measurable business outcomes.

  • Drive the adoption of Generative AI and Agentic AI solutions across the Software Testing Lifecycle to improve productivity, quality, and speed-to-market.

  • Partner with cross-functional teams to manage complex program delivery, align stakeholders, mitigate risks, and ensure successful execution of strategic initiatives.


Cognizant rating

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

59th of 72 rated business consultants


Job description

About the role
As a Program Manager - AI-Driven Quality Engineering Transformation (Life Insurance), you will make an impact by driving large-scale Quality Engineering transformation initiatives and accelerating the adoption of AI-driven testing practices across complex enterprise environments. You will be a valued member of the Quality Engineering organization and work collaboratively with engineering, product, architecture, delivery, and business stakeholders to modernize software quality and delivery outcomes.
In this role, you will:
• Lead enterprise-wide Quality Engineering transformation programs, defining strategy, roadmaps, governance models, and measurable business outcomes.
• Drive the adoption of Generative AI and Agentic AI solutions across the Software Testing Lifecycle (STLC) to improve productivity, quality, and speed-to-market.
• Partner with cross-functional teams to manage complex program delivery, align stakeholders, mitigate risks, and ensure successful execution of strategic initiatives.
• Champion modern Quality Engineering practices including shift-left testing, CI/CD integration, DevOps, test observability, quality engineering metrics, and intelligent automation.
• Foster a culture of innovation by evaluating emerging AI technologies, developing accelerators and prototypes, and promoting AI-first engineering practices across teams.
Work model: Hybrid
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 2-3 days per week in a client or Cognizant office in Boston, MA. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
• 20+ years of experience in Quality Engineering, Test Architecture, Test Automation, and enterprise-scale testing transformation programs.
• Proven success defining and executing QE strategies, automation roadmaps, governance frameworks, and quality transformation initiatives across globally distributed teams.
• Hands-on expertise with Generative AI and Agentic AI technologies, including Prompt Engineering, RAG, AI-powered test automation, intelligent test design, and predictive quality analytics.
• Strong knowledge of modern Quality Engineering practices including shift-left testing, DevOps, CI/CD, test observability, quality metrics, environment management, test data management, UAT coordination, and release readiness.
• Technical expertise in Python, Java, Selenium, Playwright, API Automation, and scalable automation framework development.
• Experience managing complex cross-functional programs, stakeholder engagement, dependency management, and enterprise risk mitigation.
• Strong understanding of AI platforms and frameworks such as Azure OpenAI, LangChain, LangGraph, Semantic Kernel, GitHub Copilot, Claude, MCP, and related AI orchestration technologies.
These will help you stand out
• Domain expertise in Life Insurance and Annuities, including policy administration, claims, underwriting, billing, and digital transformation programs.
• Experience building AI-powered testing accelerators, autonomous testing agents, conversational QE assistants, and intelligent release validation solutions.
• Demonstrated thought leadership in AI adoption, responsible AI governance, and value realization strategies.
• Proven ability to influence executive stakeholders and serve as a trusted advisor for enterprise transformation initiatives.
• Experience leading innovation programs that improve engineering effectiveness, reduce costs, and enhance software quality outcomes.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Salary and Other Compensation:
Applications will be accepted until September 04, 2026.
The annual salary for this position is between $96,750- $153,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits:
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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