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131 jobs found
19.11.2025
EY

EY Senior Manager - AI Agent Engineering United States, Georgia

Limitless High-tech career opportunities - Expoint
Lead the design and development of AI agents, microservices, and enterprise integrations. Serve as a hands-on developer while guiding 1–2 Managers. Partner with business stakeholders to identify and prioritize high-value...
Description:

Your key responsibilities

  • Lead the design and development of AI agents, microservices, and enterprise integrations.
  • Serve as a hands-on developer while guiding 1–2 Managers.
  • Partner with business stakeholders to identify and prioritize high-value agent use cases.
  • Establish reusable frameworks and best practices across AI engineering projects.

Skills and attributes for success

  • Strong leadership and mentoring capabilities.
  • Ability to translate business needs into scalable technical solutions.
  • Passion for innovation and continuous improvement in AI technologies.
  • Excellent communication and stakeholder management skills.
  • Embrace emerging technologies and digital tools to enhance collaboration, streamline workflows, and improve service delivery.
  • Promote a culture of continuous learning and adaptability in a hybrid work environment.
  • Lead with insight and analytical rigor.
  • Apply complex problem-solving and critical thinking to evaluate data, identify trends, and make informed decisions.
  • Translate insights into actionable strategies that drive measurable outcomes.

To qualify you must have

  • 8–12+ years of experience in software engineering or applied AI.
  • Strong proficiency in Python, Node.js, or Java for microservices.
  • Experience with orchestration tools such as LangChain or LlamaIndex.
  • Solid understanding of REST APIs, event-driven systems, and containerization (Docker/Kubernetes).

Ideally, you'll also have

  • Exposure to enterprise SaaS integrations.
  • Experience leading cross-functional engineering teams.
  • Familiarity with cloud platforms and scalable infrastructure.

What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .

  • We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
  • Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
  • Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.


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18.11.2025
EY

EY Manager - AI Agent Engineer United States, Georgia

Limitless High-tech career opportunities - Expoint
Build and maintain production-ready AI agents and integrations. Develop APIs and microservices for internal firmwide use. Collaborate with the Senior Manager of AI Agent Engineering on frameworks and architecture. Stay...
Description:

Your key responsibilities

  • Build and maintain production-ready AI agents and integrations.
  • Develop APIs and microservices for internal firmwide use.
  • Collaborate with the Senior Manager of AI Agent Engineering on frameworks and architecture.
  • Stay current with emerging agentic AI libraries and tools.

Skills and attributes for success

  • Strong problem-solving and debugging skills.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Passion for innovation and continuous learning in AI technologies.
  • Build and manage strong internal and external partnerships by fostering trust, empathy, and mutual value.
  • Leverage emotional agility and hybrid collaboration to navigate diverse stakeholder needs and drive long-term engagement.
  • Use critical thinking and creative reasoning to address complex problems and exceed expectations.
  • Align cross-functional teams around shared goals, ensuring accountability and progress. Use emotional intelligence and hybrid collaboration to motivate others and deliver high-impact results.

To qualify you must have

  • 5–8+ years of experience in software development or AI engineering.
  • Proficiency in Python, Node.js, or similar programming languages.
  • Experience with vector databases such as Pinecone, Weaviate, or FAISS.
  • Familiarity with orchestration frameworks like LangChain, AutoGen, or Semantic Kernel.

Ideally, you'll also have

  • Experience deploying AI agents in production environments.
  • Knowledge of cloud platforms and containerization (e.g., Docker, Kubernetes).
  • Strong communication and collaboration skills.

What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .

  • We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
  • Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
  • Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.


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09.11.2025
A

Amazon Applied Science Internship - United States United States, California, San Francisco

Limitless High-tech career opportunities - Expoint
NOTE: This position shall primarily support second shift operations (~1430hrs 2230hrs). In future, there may be rotation with first shift operations.Key job responsibilities Actively support and foster a culture of...
Description:
Description

NOTE: This position shall primarily support second shift operations (~1430hrs - 2230hrs). In future, there may be rotation with first shift operations.Key job responsibilities
- Actively support and foster a culture of inclusion.
- Own Process optimization and cost reduction initiatives for sustaining processes.
- Perform critical process reviews including Risk and Hazard assessments.
- Development and Validation of processes specific to NPI programs.
Benefits summary:1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

Basic Qualifications

- Bachelor’s degree in Mechanical Engineering, Industrial Engineering or related discipline.
- 5+ years’ experience in manufacturing environment and knowledge of GMP.
- Experience with Project Management tools.
- Experience in New Product Introduction environment including Phase-Gate process experience.
- Experienced CAD user, demonstrated capabilities in AutoCAD and SolidWorks.
- Experience using industry Problem Solving Tools such as 8D, Fishbone/Cause-Effect, or CAPA methodology.
- Experience using Quality & Statistical tools such as PFMEA, control charting, pareto, and histograms.
- Experience and proven skill in written and verbal business communications, organizational communications, reporting metrics.


Preferred Qualifications

- MBA or advanced Engineering degree preferred.
- Proven ability to manage and deliver projects with accelerated schedules.
- Proven analytical approach to problem-solving.
- Experience in manufacturing / process improvement (eg. Lean-Six Sigma).
- Experience with Manufacturing Execution Systems (MES), ERP systems, and Tool / Equipment programming.
- Self-motivated and able to solve problems independently and in team settings.
- Experience with Process Optimization Tools including Programming, Mapping, Simulation or various algorithms.

Show more

These jobs might be a good fit

Limitless High-tech career opportunities - Expoint
Lead the design and development of AI agents, microservices, and enterprise integrations. Serve as a hands-on developer while guiding 1–2 Managers. Partner with business stakeholders to identify and prioritize high-value...
Description:

Your key responsibilities

  • Lead the design and development of AI agents, microservices, and enterprise integrations.
  • Serve as a hands-on developer while guiding 1–2 Managers.
  • Partner with business stakeholders to identify and prioritize high-value agent use cases.
  • Establish reusable frameworks and best practices across AI engineering projects.

Skills and attributes for success

  • Strong leadership and mentoring capabilities.
  • Ability to translate business needs into scalable technical solutions.
  • Passion for innovation and continuous improvement in AI technologies.
  • Excellent communication and stakeholder management skills.
  • Embrace emerging technologies and digital tools to enhance collaboration, streamline workflows, and improve service delivery.
  • Promote a culture of continuous learning and adaptability in a hybrid work environment.
  • Lead with insight and analytical rigor.
  • Apply complex problem-solving and critical thinking to evaluate data, identify trends, and make informed decisions.
  • Translate insights into actionable strategies that drive measurable outcomes.

To qualify you must have

  • 8–12+ years of experience in software engineering or applied AI.
  • Strong proficiency in Python, Node.js, or Java for microservices.
  • Experience with orchestration tools such as LangChain or LlamaIndex.
  • Solid understanding of REST APIs, event-driven systems, and containerization (Docker/Kubernetes).

Ideally, you'll also have

  • Exposure to enterprise SaaS integrations.
  • Experience leading cross-functional engineering teams.
  • Familiarity with cloud platforms and scalable infrastructure.

What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .

  • We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
  • Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
  • Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.


Show more
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