Excel Ai Agent Jobs in Usa

Location: United States

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join Our Team

We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.

In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.

What you'll get to do...

• Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
• Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
• Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
• Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
• Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization

Your experience should include...

• 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
• 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development 
• 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
• A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
• A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
• 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
• The ability to define and implement a vision for experimentation best practices across diverse product areas

You might also have...

• Master's in computer science or equivalent quantitative fields

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to  

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.

Location: United States

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join Our Team

We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.

In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.

What you'll get to do...

• Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
• Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
• Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
• Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
• Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization

Your experience should include...

• 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
• 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development 
• 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
• A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
• A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
• 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
• The ability to define and implement a vision for experimentation best practices across diverse product areas

You might also have...

• Master's in computer science or equivalent quantitative fields

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to  

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.

Job Details

Position: Manager - AI Engineering

Location: Denver, CO (5 Days Onsite)

Duration: Long Term

In Person Interview Must after Video call interviews

About R Systems

R Systems is a leading digital product engineering company that designs and develops chip-to-cloud software products, platforms, and digital experiences that empower its clients to achieve higher revenues and operational efficiency. Our product mindset and engineering capabilities in Cloud, Data, AI, and CX enable us to serve key players in the high-tech industry, including ISVs, SaaS, and Internet companies, as well as product companies in telecom, media, finance, manufacturing, and health verticals. We Are Great Place to Work Certified in 10 countries with a full-time workforce [India, USA, Canada, Poland, Romania, Moldova, Indonesia, Singapore, Malaysia & Thailand]! We are recognized as one of the Best Tech Brands 2024 by the Times Group and India's Top 500 Value Creators 2023 by Dun & Bradstreet.

Company Link

Job Description:

Required Skills:

• 12+ years of experience in IT and software development
• 8+ years of management experience
• 4+ years of LLM experience (fine-tuning, RAG, prompt engineering, agentic)
• 8+ years of ML/Data Science Experience
• Someone who has been delivering AI/ML models into production (no research but real industry experience)
• Strong ability to mentor, builds teams, and drive technical vision

If you are passionate and excited about working in a fast-paced, innovative environment, we would love to hear from you!

R Systems is an equal opportunity employer that does not discriminate against any employee or job applicant because of race, color, religion, national origin, sex, physical or mental disability, age, or any other characteristic protected by law. We strive to build a team that reflects the diverse communities we serve, and we actively encourage applications from individuals of all backgrounds and experiences. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, training, promotion, and benefits.

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful.

The Opportunity

As an Audit Lead, you'll support audit engagements of varying complexity, often participating in cross-functional, risk-based assurance and advisory projects, contributing to the quality of audit work. A key aspect of this role involves testing models and model-related tools as part of audit engagements. You will support Auditor-In-Charge (AIC) responsibilities and maintain knowledge of financial services regulations, effectively responding to and interacting with regulators.

This role provides support and oversight to multiple audit engagements and participates in the review of engagement planning, fieldwork, and reporting. You will also manage strategic initiatives and assist with the development and implementation of a risk-based audit plan. You will serve as, and/or partner with, subject matter expert(s) within audit or the business to analyze issues, establish collaborative client relationships, and proactively work with client management to assess risk and improve internal controls. You will also adhere to the Institute of Internal Auditors' International Standards for the Professional Practice of Internal Auditing (Standards) and Code of Ethics.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, or Charlotte, NC.

Relocation assistance is available for this position.

What you'll do:

• Contribute to continuous monitoring, advisory activities, special reviews, and investigations.
• Ensure assigned audit engagements are completed objectively, professionally, and timely, adhering to audit standards.
• Identify control weaknesses and recommend improvements, drafting audit issues and reports for client leadership and conducting follow-up.
• Support quality of audit reviews and propose updates to the universe risk assessment based on audit results.
• Build client relationships to drive strategic objectives.
• Communicate effectively with business/clients, delivering risk-based and difficult messages, and potentially with regulators and executive leaders.
• Provide coaching and guidance to other auditors, ensuring timely and quality deliverables, and may provide engagement evaluations.
• Provide input into the internal audit universe and risk profiles, updating risk assessment information.
• Participate in the development and execution of the annual audit plan, assessing and covering risks.

What you have:

• Bachelor's degree in Business or relevant field such as Finance, Accounting, Business, or Information Technology. Four additional years of related experience beyond minimum required may be substituted in lieu of a degree.
• 8 years of audit, financial, insurance, banking, information technology or related business and/or leadership experience.
• Experience performing internal audits, external audits, or applying audit, risk, or compliance acumen in a complex operational and regulatory environment.
• Broad and comprehensive experience in Audit theory, internal audit principles with demonstrated experience in audit examining, analyzing, assessing, and drawing conclusions from audit work.
• Demonstrated experience effectively communicating and challenging Controls with business partners and influencing business outcomes.
• Understanding of risks and internal controls and the ability to evaluate and determine adequacy and efficiency of controls.
• Experience in a support role, mentoring, and providing feedback to audit team members throughout the audit.
• Experience in overseeing work with both internal and external partners in a highly collaborative environment
• Demonstrated critical thinking and knowledge of data analysis tools and techniques and decision-making abilities.
• Demonstrated experience in highly dynamic environment undergoing change; ability to deal with competing priorities.

What sets you apart:

• AI/ML Knowledge: Comprehensive understanding of AI/ML concepts, lifecycle stages, data sourcing, model types, tools, applications, and model risk management principles.
• AI Risk Management Expertise: Proficient in identifying, assessing, and mitigating risks associated with AI systems (e.g., safety, data integrity, privacy, security, biases).
• Model Risk & Control: Deep knowledge of model risk frameworks and control testing methodologies.
• Regulatory & Governance Expertise: Familiarity with AI-related regulatory guidance (e.g., SR 11-7, OCC 2011-12) and emerging governance principles (e.g., NIST AI RMF, ISO/IEC 42001, EU AI Act).
• AI Explainability & Transparency: Ability to evaluate interpretability techniques for regulatory and business transparency.
• Emerging Technology Awareness: Awareness of generative AI, LLMs, and automated decisioning frameworks to assess evolving risks and adapt audit techniques.

Compensation range: The salary range for this position is: $143,320 - $273,930

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on .

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

We are seeking a curious and motivated AI & Systems Operations Associate to join our team in Chicago. This is an entry-level opportunity ideal for a recent graduate or early-career professional who is excited about artificial intelligence and interested in how emerging technologies can improve the way businesses operate.You do not need to be an AI programmer or have a technical degree. What matters most is that you are analytical, tech-comfortable, and naturally curious about AI tools and new technologies. If you regularly explore tools like ChatGPT, enjoy learning new platforms, and like figuring out smarter ways to solve problems, this role could be a great fit.

You will work closely with internal teams to help support AI tools, operational systems, and technology-driven workflows.

Key Responsibilities

• Assist in supporting and maintaining internal operational systems and technology platforms
• Use AI tools to help improve workflows, research solutions, and increase efficiency
• Review and monitor AI-generated outputs to ensure accuracy and usefulness
• Help identify opportunities to streamline internal processes through technology
• Support the adoption and use of new tools and systems across teams
• Assist with documentation, testing, and improvement of technology-driven workflows
• Stay informed on emerging AI tools and technologies that may benefit the business

Qualifications

• Bachelor’s degree required (any field – Liberal Arts, Business, Technology, etc.)
• Strong curiosity about artificial intelligence and emerging technologies
• Comfortable using modern technology platforms and software tools
• Familiarity with AI tools such as ChatGPT or similar platforms
• Strong critical thinking and problem-solving abilities
• Organized, detail-oriented, and eager to learn
• Ability to work hybrid in Chicago (3 days per week in-office)

Nice to Have (Not Required)

• Exposure to workflow or contract management platforms such as Ironclad
• Internship or academic experience involving technology, research, or operations
• Interest in legal technology, legal operations, or business systems
• Basic understanding of automation, AI tools, or digital workflows

A postdoctoral fellowship is available at the Stanford University School of Medicine focused on implementing machine learning on population-scale clinical and biological data to characterize biological aging, resilience, and rejuvenation.

This is a unique opportunity to apply ML in unconventional and paradigm-shifting research with the potential to directly and broadly impact human lives. By joining our research group, you will:

• Have direct access to unparalleled population-scale clinical and biological data sources, along with the computational resources required to analyze these data and develop sophisticated machine learning models.
• Work in a highly collaborative environment with researchers from diverse backgrounds in medicine, biological sciences, and computer science.
• Collaborate with world-leading experts at Stanford University across the spectrum of AI, medicine, and biology.
• Be part of an environment strongly committed to translating research findings into actionable insights and scalable real-world products. We encourage (and financially support) our postdoctoral fellows to pursue extensive training in entrepreneurship and business management through Stanford’s Graduate School of Business. This position is well suited for candidates interested not only in state-of-the-art academic research, but also in exploring industrial and entrepreneurial career trajectories.

As a Stanford postdoctoral scholar, you will receive a highly competitive salary and comprehensive benefits, including best-in-class health and dental insurance. You will also receive priority consideration for Stanford housing and have access to Stanford’s broad range of professional development, learning, and growth resources.

Relevant background:

• MD or PhD, with research experience building and/or applying machine learning models during graduate studies, industry, or postdoctoral work.
• Excellent publication record.
• Interest in medicine and biology.
• Familiarity with modern AI/ML platforms and libraries (e.g., PyTorch and/or TensorFlow), traditional machine learning frameworks (e.g., scikit-learn), and statistical analysis in Python.

Preferred, but not required:

• Familiarity with electronic health record (EHR) data and cohort/outcome definition using EHRs.
• Experience in medicine and/or biology, particularly in aging-related research and omics-based analyses.
• Broad experience across diverse AI/ML concepts, including causal inference.
• Publications in leading AI/ML, biology, or medicine conferences and journals.

Keywords:

Machine Learning, Precision Medicine, Biology, Omics, Proteomics, metabolites, Electronic Health Records, Artificial Intelligence, Data Science, Deep Learning, Bioinformatics

How to Apply:

• To receive full consideration, please apply using the following google form:  can be directed to
• For more information please visit: 

Position: Principal AI Engineer

Location: San Francisco CA Hybrid

Contract

Job Summary:

• We are seeking a senior level AI/ML engineering contractor to temporarily step into a technical leadership and team lead role supporting personalization models and the company’s AI platform.
• The ideal candidate can balance technical expertise, strategic decision making, and day to day team guidance to ensure continuity during the leave period.

Required Skills & Experience:

• Senior level 12 years of experience building and operating machine learning systems in production.
• Strong understanding of ranking models, recommendation systems, model evaluation, and experiment design.
• Hands on expertise with modern AI/ML engineering tools (e.g., Python, Spark or similar, cloud-based ML pipelines, cloud model serving frameworks, and API design).
• Ability to lead engineering discussions, guide team members, and provide clear direction.
• Strong organizational skills: able to manage complex projects and maintain structure during a temporary leadership period.
• Excellent communication skills, with the ability to translate technical details into clear action for partners and stakeholders.

Technical Product Manager - Data & ML Infrastructure

A stealth-mode AI startup is looking for a Technical Product Manager to join a team of engineers and researchers from Google and Frontier AI labs. You'll be leading the build and strategy of foundational systems that power machine learning and data-intensive applications, tackling problems where performance, reliability, and scale matter.

The Technical Product Manager will sit at the intersection of product, engineering, and AI research. They will define the roadmap for core data and ML infrastructure, work closely with engineering teams to translate ambitious technical goals into actionable plans, and engage directly with customers to ensure solutions solve high-impact problems.

This is not a typical PM role. The ideal candidate will need deep technical understanding of data systems, ML infrastructure, and pipelines, paired with the ability to prioritize and advocate relentlessly for customer needs. They’ll thrive in an environment where ambiguity is high, and technical decisions have immediate real-world impact.

The ideal candidate will have:

• 3+ Years' Product Management experience
• Strong technical background with experience in software engineering or ML systems
• Deep knowledge of data and ML infrastructure, including pipelines, storage, and compute
• A proven track record of working directly with customers to understand and solve real problems
• Excellent problem-solving and prioritization skills in fast-moving environments
• The ability to balance technical feasibility, user value, and long-term product vision

This role offers the chance to help shape the backbone of cutting-edge ML applications, working alongside a team with deep expertise in AI and engineering. It’s a high-ownership, high-impact role for someone who loves both building and defining technically complex products.

CNC / Mold / AI Manufacturing Engineer (Training Provided)

Location: Louisville, Kentucky, USA

Industry: Advanced Manufacturing / Precision Tooling

【About the Company】

FTC USA is building a next-generation precision manufacturing center in the United States.

Our mission is to combine advanced tooling expertise with AI technologies to create the next generation of intelligent manufacturing systems.

We offer a unique opportunity for engineers to grow from CNC machining to mold design and eventually AI-driven manufacturing engineering.

【International Training Program】

We believe in investing in people. Even if you do not have prior CNC experience, we provide a structured training program that includes:

• On-the-job technical training
• Hands-on machining training
• International training opportunities

Selected engineers will have the opportunity to receive advanced training at our R&D centers in Taiwan and/or Japan, where they will learn from highly experienced tooling and manufacturing engineers.

This program allows engineers to develop world-class precision manufacturing skills.

【Career Development Path】

If you are willing to accept training arrangements in Taiwan and/or Japan, the future career development and salary growth path is as follows:

Level: Level 1

Position: CNC Engineer

Salary Range: $80,000 – $120,000

Level: Level 2

Position: Mold Design Engineer

Salary Range: $120,000 – $160,000

Level: Level 3

Position: AI Mold Engineer

Salary Range: $160,000 – $220,000+

You will receive continuous training and mentorship to progress through these levels.

【Key Responsibilities】

CNC Engineering

• Learn and operate 3-axis and 5-axis CNC machining centers
• Develop CAM programs using software such as Mastercam, NX, or Powermill
• Manufacture high-precision mold components
• Work with EDM and wire-EDM machining processes
• Perform precision measurements and quality control with CMM
• Implement CNC automation and digital manufacturing platform

Mold Design & Manufacturing Integration

• Participate in precision mold design
• Support mold structure design, cooling systems, and gating systems
• Work with machining teams to optimize manufacturability
• Apply Design for Manufacturing (DFM) principles
• Support mold assembly and troubleshooting

AI-Driven Manufacturing Development (Advanced Level)

• Apply AI technologies to improve mold design and manufacturing
• Develop intelligent machining optimization strategies
• Support predictive maintenance systems
• Participate in smart manufacturing and digital twin initiatives

【Qualifications】

We welcome candidates with strong interest in manufacturing engineering.

Required:

• Bachelor’s degree in Mechanical Engineering, Manufacturing Engineering, or related field
• Strong interest in advanced manufacturing technologies
• Strong problem-solving ability
• Willingness to learn CNC machining and mold manufacturing
• Ability to work in a hands-on engineering environment.
• Can join the training program in Taiwan and/or Japan for first few months.

Preferred (but not required)

• Experience with CNC machining or CAM software
• Experience with CAD software
• Experience in mechanical design
• Knowledge of automation or manufacturing systems

No prior CNC machining experience is required. Training will be provided.

【What We Offer】

• Competitive salary and career growth opportunities
• Structured engineering career development
• Hands-on training with advanced manufacturing equipment
• Paid international training opportunities in Taiwan and Japan
• Mentorship from experienced manufacturing engineers
• Opportunity to work in next-generation smart manufacturing

【Why Join Us】

This is a rare opportunity to develop expertise in precision manufacturing, mold engineering, and AI-driven production systems.

You will gain exposure to global manufacturing technologies and international engineering teams, while building a long-term career in advanced manufacturing.

【Apply Now】

If you are passionate about engineering and excited about the future of manufacturing, we encourage you to apply.

Why Zensar?

We’re a bunch of hardworking, fun-loving, people-oriented technology enthusiasts. We love what we do, and we’re passionate about helping our clients thrive in an increasingly complex digital world. Zensar is an organization focused on building relationships with our clients and with each other—and happiness is at the core of everything we do. In fact, we’re so into happiness that we’ve created a Global Happiness Council, and we send out a Happiness Survey to our employees each year. We’ve learned that employee happiness requires more than a competitive paycheck, and our employee value proposition—grow, own, achieve, learn (GOAL)—lays out the core opportunities we seek to foster for every employee. Teamwork and collaboration are critical to Zensar’s mission and success, and our teams work on a diverse and challenging mix of technologies across a broad industry spectrum. These industries include banking and financial services, high-tech and manufacturing, healthcare, insurance, retail, and consumer services. Our employees enjoy flexible work arrangements and a competitive benefits package, including medical, dental, vision, 401(k), among other benefits. If you are looking for a place to have an immediate impact, to grow and contribute, where we work hard, play hard, and support each other, consider joining team Zensar!

QA / Quality Engineering Delivery Lead

Location: Secaucus, NJ (Hybrid – 3 days onsite)

Employment Type: Full-time / Contract

Experience: 12–15 years

Domain: Retail

Role Overview

We are seeking a QA / Quality Engineering Delivery Lead to own end-to-end quality delivery while driving QE transformation and modernization initiatives, including AI-augmented testing and intelligent automation frameworks. This role demands a tool-agnostic automation mindset, strong leadership capabilities, and the ability to balance BAU delivery with future-ready QE transformation, leveraging GPT-based testing and AI-led quality practices.

Key Responsibilities:

• Own quality outcomes across programs, releases, and product lines
• Lead day-to-day BAU QA delivery, including:
• Test planning & execution
• Defect management
• Release validation and go/no-go readiness
• Drive QE assessments and build continuous improvement & transformation roadmaps
• Define and execute modern test automation strategies across:
• UI, API, Mobile, and End-to-End (E2E) automation
• Lead AI-augmented testing initiatives, including:
• GPT/LLM-based test case generation
• Intelligent test design and risk-based testing
• Self-healing automation and test optimization
• Promote shift-left and shift-right testing by partnering with:
• Product Management
• Engineering
• DevOps and SRE teams
• Embed quality early in the SDLC through CI/CD and cloud-native testing
• Establish and track quality metrics, KPIs, and dashboards
• Provide clear visibility into quality status, risks, and dependencies for senior stakeholders
• Mentor QA/QE teams and foster a continuous improvement and innovation culture.

Required Skills & Experience

Must Have

• 10–14 years of experience in QA / Quality Engineering
• Proven leadership experience managing QA/QE teams in Agile & DevOps environments
• Strong hands-on expertise in test automation frameworks, including:
• Selenium, Playwright, Cypress (any one or more)
• Exposure to Tricentis Tosca (preferred but not mandatory)
• Solid experience in:
• API & integration testing
• Test data management
• Defect lifecycle management
• Demonstrated experience conducting:
• QE maturity assessments
• Automation ROI analysis
• QE transformation planning
• Ability to manage BAU delivery alongside modernization and innovation initiatives
• Strong Retail domain experience (POS, eCommerce, supply chain, merchandising systems preferred)

AI-Augmented & Intelligent QE (Mandatory Focus)

• Hands-on or leadership experience with AI-driven QE practices, including:
• GPT / LLM-based test case & test scenario generation
• AI-assisted exploratory testing
• Intelligent test selection, prioritization, and impact analysis
• Experience building or adopting intelligent automation frameworks with:
• Self-healing capabilities
• Dynamic locators & adaptive scripts
• Familiarity with:
• Generative AI usage in QE pipelines
• Prompt engineering for test generation
• Ability to operationalize AI in QE, not just PoCs

Zensar believes that diversity of backgrounds, thought, experience, and expertise fosters the robust exchange of ideas that enables the highest quality collaboration and work product. Zensar is an equal opportunity employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Zensar is committed to providing veteran employment opportunities to our service men and women. Zensar is committed to providing equal employment opportunities for people with disabilities or religious observances, including reasonable accommodation when needed. Accommodation made to facilitate the recruiting process are not a guarantee of future or continued accommodation once hired.

All applicants must be legally authorized to work with Zensar. Visa sponsorship may be available for qualified applicants for certain positions.

Zensar values your privacy. We’ll use your data in accordance with our privacy statement located at: