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Ai Automation Engineer Jobs in Edison, NJ (NOW HIRING)

You'll partner with our Senior AI Automation Engineer to embed with business teams across OUTFRONT, find broken manual processes, and ship AI-powered automations that fix them. You'll spend your ...

You'll partner with our Senior AI Automation Engineer to embed with business teams across OUTFRONT, find broken manual processes, and ship AI-powered automations that fix them. You'll spend your ...

AI Automation Engineer

New York, NY · On-site

$200K - $230K/yr

Collaborate cross-functionally with engineering, product, and operations teams to identify opportunities for AI-driven automation and tooling * Develop internal "skills" and tooling frameworks to ...

Senior AI Automation Engineer

Fairfield, NJ · On-site

$106K - $139K/yr

We're hiring a Senior AI Automation Engineer to change that. You'll embed with teams across Finance, Real Estate, HR, Sales Ops, Legal, and Marketing, find the workflows that are slow and broken, and ...

Senior AI Automation Engineer

New York, NY · On-site

$113K - $149K/yr

We're hiring a Senior AI Automation Engineer to change that. You'll embed with teams across Finance, Real Estate, HR, Sales Ops, Legal, and Marketing, find the workflows that are slow and broken, and ...

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Ai Automation Engineer information

See Edison, NJ salary details

$37.5K

$108.6K

$165.3K

How much do ai automation engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for ai automation engineer in Edison, NJ is $108,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $125,200.00 per year, depending on experience, location, and employer.

What is an AI automation engineer?

AI Automation Engineers are professionals who design, develop, and implement artificial intelligence solutions to automate tasks and workflows within organizations. They combine expertise in AI, machine learning, and software engineering to create systems that can perform repetitive or complex tasks efficiently with minimal human intervention. Their work often involves building and integrating AI models, optimizing processes, and ensuring the reliability and scalability of automated solutions. These engineers collaborate closely with data scientists, software developers, and business stakeholders to align automation initiatives with organizational goals.

What is the difference between Ai Automation Engineer vs Data Scientist?

AspectAi Automation EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of AI, automation toolsBachelor's or higher in Statistics, Computer Science, or related; strong analytical skills
Work EnvironmentTech companies, automation firms, R&D labs; focus on developing AI-driven automation solutionsData analysis teams, research institutions; focus on data modeling and insights
Employer & Industry UsageUsed in manufacturing, software development, AI startupsUsed across finance, healthcare, marketing, and tech sectors
Common Search & Comparison IntentUnderstanding roles in AI automationExploring data analysis careers

While both roles involve working with data and AI, Ai Automation Engineers focus on developing automated AI systems and integrating AI into processes. Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in application and focus areas.

What are common challenges faced by AI automation engineers during project implementation?

AI Automation Engineers often encounter challenges such as integrating new AI models with existing legacy systems, ensuring data quality for accurate model outputs, and managing stakeholder expectations regarding automation outcomes. They must also address issues related to model scalability and robustness, especially when deploying solutions in dynamic production environments. Collaboration with cross-functional teams—including data scientists, software engineers, and business analysts—is essential to navigate these complexities and deliver effective automation solutions.

What skills and qualifications are needed to thrive as an AI automation engineer?

To thrive as an AI Automation Engineer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and typically a degree in computer science, engineering, or a related field. Familiarity with automation frameworks, cloud platforms (like AWS, Azure, or GCP), and machine learning libraries (such as TensorFlow or PyTorch) is often required. Problem-solving ability, adaptability, and effective communication are crucial soft skills for collaborating across teams and addressing complex technical challenges. These skills ensure the successful design, implementation, and scaling of automated AI solutions that drive business efficiency and innovation.
What job categories do people searching Ai Automation Engineer jobs in Edison, NJ look for? The top searched job categories for Ai Automation Engineer jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Ai Automation Engineer jobs? Cities near Edison, NJ with the most Ai Automation Engineer job openings:
Infographic showing various Ai Automation Engineer job openings in Edison, NJ as of June 2026, with employment types broken down into 82% Full Time, 3% Part Time, and 15% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $110,903 per year, or $53.3 per hour.

$120K - $135K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Job description

Must Have Technical/Functional Skills
Must have:
Strong Python Development Skills
Hands on experience on Continue.dev, Microsoft Copilot Studio, and Claude Code
• Proven experience designing and implementing end-to-end AI-driven business process automation solutions, including workflow orchestration, API integrations, and enterprise system connectivity (Agentic AI)
• Strong hands-on expertise with AI-assisted development tools and frameworks such as Continue.dev, Microsoft Copilot Studio, and Claude Code, with the ability to accelerate development, testing, and deployment cycles.
• Advanced software engineering and automation skills across Python, JavaScript/TypeScript, REST APIs, cloud platforms, CI/CD pipelines, and modern application architecture, with a focus on scalable and secure enterprise solutions.
• Ability to work directly with business stakeholders to translate operational requirements into AI-enabled automation use cases, while ensuring strong governance, documentation, risk controls, and measurable business outcomes.
• Initial use cases:
o Leverage the tools in AI that we have available (primarily Co-Pilot Studio) to create agents connecting to mailboxes, One Drive, SharePoint
o Transactions Foreign Central Banks transactions finding anomalies and summarizing findings
o Connectors to MS Dynamics to parse emails to update CRM
• Need someone that knows integrations and leverage Studio and agents. Databricks nice to have
• Machine Learning algorithms, AWS Bedrock API, Domino
• We want to operate in learning environment
Roles & Responsibilities
Bachelors in IT related field, Computer science preferred or equivalent.
We are seeking a highly skilled AI Automation Engineer to design, build, and scale AI-driven enterprise automation solutions leveraging Agentic AI frameworks. The role requires deep expertise in Python-based development, AI-assisted engineering, and end-to-end automation architecture, enabling measurable business transformation through intelligent workflows.
• Design and implement end-to-end AI-driven automation solutions, including workflow orchestration, API integrations, and enterprise system connectivity using
Agentic AI paradigms
• Develop and deploy Python-centric automation frameworks and services, ensuring high performance, scalability, and security across enterprise environments
• Leverage AI-assisted development tools (e.g., Microsoft Copilot Studio, Continue.dev, Claude Code) to accelerate development cycles, testing, and
• Build and integrate RESTful APIs, microservices, and event-driven architectures to enable seamless data and system interoperability
• Collaborate with business stakeholders to translate operational needs into AI-enabled automation use cases with clear ROI and measurable outcomes
• Ensure strong governance, documentation, compliance, and risk controls across all automation initiatives
• Implement and manage CI/CD pipelines and cloud-native deployments for continuous delivery of AI-powered solutions
• Drive adoption of best practices in software engineering, AI automation, and enterprise architecture
Required Skills & Qualifications
Core Technica l Skills
• Strong programming expertise in Python (mandatory), with experience in automation, scripting, and backend development • Proficiency in JavaScript/TypeScript and modern application development frameworks
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $120,000-$135,000 a year