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Intelligent Automation Engineer Jobs

3 jobs found

1d ago

Physical & Spatial AI, OT Connectivity Engineer III

Deloitte New York, NY

New York, NY

1d ago

$116k - $229k/yr Full time Electrical Engineering Ai Infrastructure Ansible

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Job Description

New York, NY (Onsite) | USD 116,200 - 229,100 per year

Deloitte’s AI & Engineering practice helps clients design, develop, and operate advanced data, AI, and engineering platforms, products, insights, and services. In this role, you will support client efforts to modernize OT environments and establish secure, high-performing connectivity foundations for intelligent industrial operations. The focus includes digital twin and spatial intelligence concepts, Physical AI-enabled solutions, and practical networking design that enables connected equipment and time-sensitive applications.

What you’ll do

Design new industrial networks and modernize existing infrastructure to support connected equipment, cameras, IIoT sensors, automation systems, and increasing data demands.
Build segmented, multi-site network solutions using modern routing, switching, remote connectivity, and software-defined networking technologies.
Enable reliable data movement across OT and IT domains to support emerging AI, high-performance, and optical networking use cases.
Use network and agentic automation tools to improve deployment, configuration, monitoring, troubleshooting, and ongoing support.
Integrate IT and OT environments using established OT architecture and cybersecurity frameworks to reduce risk and protect critical operations.
Design connectivity that supports leading industrial protocols and time-sensitive applications across complex operating environments.
Use network KPIs, monitoring, assurance, and structured troubleshooting to improve availability, performance, and operational efficiency.
Collaborate with technical and business stakeholders to deliver practical solutions for manufacturing, energy, and other industrial technology, media, and telecommunications organizations.

What you bring

Bachelor’s degree in Engineering, Computer Science, Information Systems, Industrial Engineering, Operations, or a related field.
Minimum 5 years of hands-on experience designing, implementing, and supporting network connectivity solutions for OT or industrial environments, shown through completed client or enterprise projects.
Prior consulting experience delivering technical solutions directly to clients.
Experience designing, implementing, or supporting networks in OT or industrial environments.
Experience with network segmentation, including VLANs, routing, firewalls, VPNs, or secure remote connectivity.
Knowledge of the Purdue Model and IEC 62443 network zoning and segmentation principles.
Experience with at least one industrial communication protocol, such as PROFINET, EtherNet/IP, or OPC UA.
Experience troubleshooting OT network connectivity and performance issues.
Experience using network monitoring tools and performance data to maintain reliability, identify issues, and support troubleshooting.
Experience connecting IIoT devices or integrating network connectivity across OT and IT environments.
Ability to create clear network designs and technical documentation.
Ability to communicate technical solutions to architects, clients, and OT and IT stakeholders.
Ability to travel up to 50% on average based on work, clients, and industries served.
Limited immigration sponsorship may be available.

Technologies you may work with

Digital twin and spatial technologies, spatial intelligence, Physical AI
Nvidia, Google
Routing, switching, software-defined networking, segmented multi-site networking
VLANs, firewalls, VPNs, secure remote connectivity, IPsec, SD-WAN
VRF-lite, VXLAN-EVPN
Purdue Model and IEC 62443 network zoning and segmentation principles
PROFINET, EtherNet/IP, OPC UA
Network KPIs, monitoring, agentic automation
Ansible, Netmiko, n8n, LangChain
TSN, InfiniBand, Spectrum-X, optical transport network (OTN) devices

Compensation details

A reasonable estimate of the current range is $116,200 to $229,100. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program.

Team focus

Our AI & Engineering practice offers comprehensive solutions for designing, developing, and operating advanced data, AI, and engineering platforms, products, insights, and services.

Recruiting for this role ends on: 11/26/2026

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16d ago

Automation & AI Engineer Associate

SAIC Washington, DC

Washington, DC

16d ago

$60k - $100k/yr Full time Backend Developer Agentic Ai Ai Agent

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Job Description

SAIC is modernizing legacy workloads into secure, cloud-native applications that embed AI and automation for a regulated federal financial environment. This onsite role in Washington, DC focuses on building production LLM and agentic solutions, integrating IRS-related data sources, and applying MLOps/AIOps and responsible AI controls to support governance and security requirements.

Salary: USD 60,001 - 100,000 per year.

What you will do

Modernize GMF and related legacy workloads by refactoring monoliths and batch processes into secure, cloud-native architectures, including microservices, APIs, and event-driven systems with embedded AI/automation.
Design, build, and deploy LLM-based and agentic solutions that automate complex workflows and integrate with IRS data sources (examples include LangChain, LangGraph, RAG, vector search, and AWS Bedrock agents).
Apply platform engineering and MLOps/AIOps best practices, including CI/CD, infrastructure-as-code, model and prompt lifecycle management, and responsible AI controls.
Partner with architects, developers, testers, and stakeholders to deliver scalable, secure AI-driven modernization solutions.
Integrate legacy data sources into modern data platforms and AI-enabled services.
Support compliance with security, privacy, and governance requirements in a regulated federal financial environment.

Required qualifications

Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (or 4 years of experience in lieu of degree).
Ability to obtain and maintain a public trust requiring U.S. Citizenship or Green Card.
0+ years in software, ML, or data engineering, including experience with application modernization.
Familiarity with AI/ML or LLM-based applications in production.
Strong experience with modern application architectures (microservices, REST APIs, event-driven) and legacy integration.
Hands-on experience building agentic AI solutions using LLM frameworks such as LangChain and LangGraph.
Proficiency in Python and common ML/NLP libraries (e.g., Hugging Face, Transformers, scikit-learn, PyTorch, TensorFlow).
Production experience with AWS services including networking/IAM, Lambda, ECS/EKS, API Gateway, S3, DynamoDB, RDS, OpenSearch, SageMaker, and CloudWatch.
Practical experience using AWS Bedrock for LLM-powered applications and agents, including knowledge bases and guardrails.
Experience implementing RAG and working with vector search and vector databases.
Experience with CI/CD and infrastructure-as-code (e.g., Terraform, CloudFormation).
Familiarity with MLOps/AIOps (e.g., MLflow, SageMaker) and AI-focused observability such as logging, metrics, and drift/quality monitoring for LLM and agent workflows.
Strong SQL skills and experience integrating legacy data into modern platforms.
Experience with Docker and container orchestration (Kubernetes, AWS ECS/EKS).

Technologies you may work with

Python, Hugging Face, Transformers, scikit-learn, PyTorch, TensorFlow
AWS (Lambda, ECS, EKS, API Gateway, S3, DynamoDB, RDS, OpenSearch, SageMaker, CloudWatch) and AWS Bedrock
LangChain, LangGraph, RAG, vector search
Terraform, CloudFormation, MLflow, Docker, Kubernetes
REST APIs, microservices, event-driven systems, CI/CD, MLOps, AIOps
LangSmith, CrewAI, AutoGen, Temporal, Model Context Protocol (MCP), BrainTrust, DeepEval, Databricks, Delta Lake

Desired experience

Strong technical judgment and communication skills to explain AI modernization approaches to technical and business stakeholders.
Experience with Databricks (notebooks, Delta Lake, ML/feature store) for data and ML pipelines.
Experience with LLM/agent observability and debugging tools (for example, LangSmith or similar).
Experience with advanced agent frameworks such as CrewAI and AutoGen, including multi-agent workflows.
Hands-on experience operating agents in production, including safety/guardrails, performance tuning, and lifecycle management.
Experience with durable workflow engines such as Temporal for long-running AI and automation workflows.
Familiarity with Model Context Protocol (MCP) for tool integration and extensible agent systems.
Experience with LLM/agent evaluation frameworks such as BrainTrust or DeepEval, or similar.

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1mo ago

AI Engineer

Experis Charlotte, NC

Charlotte, NC

1mo ago Closed

$60 - $65/hr Full time Ai Automation Ai Engineer Ai Monitoring

This position is no longer accepting applications (closed Oct 23, 2026).

Job Description

Join Experis’ AI & Automation department and help deliver enterprise-ready AI capabilities in a hybrid setup based in Charlotte, NC (3 days onsite). This role focuses on building practical AI solutions that improve productivity, streamline workflows, and support responsible AI practices.

You will work with modern Microsoft AI tooling including Microsoft Copilot, Azure AI services, Microsoft 365 Copilot, and Azure OpenAI Services, while partnering with cross-functional teams to integrate models and ensure seamless API connectivity.

What you’ll do

Design, develop, and implement enterprise AI solutions using Microsoft Copilot, Azure AI services, and modern AI technologies.
Increase productivity by applying AI-powered automation and intelligent workflows to business processes.
Collaborate with cross-functional teams to integrate AI models and deliver API integrations that work reliably.
Use data analytics and AI monitoring tools to optimize AI solutions and support responsible AI practices.
Stay current with advances in Generative AI, Large Language Models (LLMs), and AI governance to guide innovation.

What you’ll bring

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (Master’s preferred).
5+ years of experience in software engineering, AI/ML, cloud engineering, or automation.
2+ years of hands-on experience with Generative AI, LLMs, and Microsoft Copilot technologies.
Proficiency with Microsoft 365 Copilot, Azure OpenAI Services, and Azure AI Studio.
Strong skills in prompt engineering, API integration, data analytics, and responsible AI practices.

Technology environment

Work across Microsoft Copilot, Azure AI services, Microsoft 365 Copilot, Azure OpenAI Services, Azure AI Studio, plus Generative AI and LLMs, including AI monitoring tools.

Benefits and compensation

Medical and Prescription Drug Plans
Dental Plan
Vision Plan
Health Savings Account
Health Flexible Spending Account
Dependent Care Flexible Spending Account
Supplemental Life Insurance
Short Term and Long Term Disability Insurance
Business Travel Insurance
401(k), Plus Match
Weekly Pay

Pay range: $60-$65 per hour. Location: Charlotte, NC (Hybrid: 3 days onsite).

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