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Automation & AI Engineer Associate

SAIC

Washington, District of Columbia • Today

Full-time

USD 60,001.00 - 100,000.00 per year

Early Career Consult Program - Associate AI Engineer

Kyndryl

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Associate Director / Lead Engineer, GenAI

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USD 114,200.00 - 207,200.00 per year

Cloud Engineer, Associate

Purdue University

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USD 82,560.00 - 87,720.00 per year

ITSM Integration Engineer Associate

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Associate Innovation Software Engineer - Hybrid/Remote

Genesis10

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Easy Apply

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USD 63.00 - 75.00 per hour

Associate Platform Engineer - Entry Level

Verapath

Remote • 12d ago

Easy Apply

Full-time, Third Party

Depends on Experience

Associate Platform Engineer

Kforce Technology Staffing

Remote or West Palm Beach, Florida • Today

Full-time

$80,000 - $90,000 annually

Senior Associate IT Engineer

Parachute Health

Remote • Today

Full-time

USD 60,000.00 - 105,000.00 per year

SAIC

Job Details

Skills

Security Clearance
Legacy Systems
Internet
Payment Systems
Trading
Code Refactoring
Cloud Computing
Embedded Systems
Collaboration
Regulatory Compliance
Privacy
Finance
Computer Science
Data Science
Data Engineering
Software Modernization
Microservices
LangChain
Python
Natural Language Processing
scikit-learn
PyTorch
TensorFlow
Computer Networking
API
Amazon S3
Amazon DynamoDB
Remote Desktop Services
Amazon RDS
Database
Continuous Integration
Continuous Delivery
Terraform
Machine Learning Operations (ML Ops)
Amazon SageMaker
SQL
Docker
Orchestration
Kubernetes
Amazon Web Services
Communication
Databricks
Machine Learning (ML)
Debugging
LangSmith
Autogen
Performance Tuning
Lifecycle Management
Artificial Intelligence
Workflow
Microsoft Certified Professional
Evaluation
Information Technology
Systems Engineering
FOCUS

Security Clearance
Legacy Systems
Internet
Payment Systems
Trading
Code Refactoring
Cloud Computing
Embedded Systems
Collaboration
Regulatory Compliance
Privacy
Finance
Computer Science
Data Science
Data Engineering
Software Modernization
Microservices
LangChain
Python
Natural Language Processing
scikit-learn
PyTorch
TensorFlow
Computer Networking
API
Amazon S3
Amazon DynamoDB
Remote Desktop Services
Amazon RDS
Database
Continuous Integration
Continuous Delivery
Terraform
Machine Learning Operations (ML Ops)
Amazon SageMaker
SQL
Docker
Orchestration
Kubernetes
Amazon Web Services
Communication
Databricks
Machine Learning (ML)
Debugging
LangSmith
Autogen
Performance Tuning
Lifecycle Management
Artificial Intelligence
Workflow
Microsoft Certified Professional
Evaluation
Information Technology
Systems Engineering
FOCUS

Summary

Job ID: 2617812

Location: Washington, DC, US

Date Posted: 2026-10-12

Category: Software

Subcategory: SW Engineer

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: Public Trust

Potential for Remote Work: ORA_REMOTE

Description

SAIC is seeking a self-motivated, customer-focused Automation & AI Engineer to join our team. You will work with AI Engineers, Developers, and Testers to modernize legacy systems into intelligent, secure, cloud-native applications.

You will help design and enhance a highly secure system for a federal agency that processes high-value financial transactions over the Internet. Experience with payment systems, trading systems, or other highly secure transactional environments is a strong plus. This role is ideal for someone who enjoys solving complex problems with modern AI and cloud technologies in a collaborative team environment.

Key Responsibilities

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

Qualifications

Required

Bachelor's degree in Computer Science, Engineering, Data Science, or related field.(4 years experience in lieu of degree)
Ability to obtain and maintain a public trust requiring U.S. Citizenship or .
0+ years in software, ML, or data engineering, including experience with application modernization.
Familiar 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 (e.g., LangChain, LangGraph).
Proficiency in Python and common ML/NLP libraries (e.g., Hugging Face, Transformers, scikit-learn, PyTorch/TensorFlow).
Production experience with AWS (networking/IAM, Lambda, ECS/EKS, API Gateway, S3, DynamoDB, RDS, OpenSearch, SageMaker, CloudWatch).
Practical experience using AWS Bedrock for LLM-powered applications and agents (knowledge bases, guardrails).
Experience implementing RAG and working with vector search/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 (logging, metrics, drift/quality monitoring) for LLM/agent workflows.
Strong SQL skills and experience integrating legacy data into modern platforms.
Experience with Docker and container orchestration (Kubernetes, AWS ECS/EKS).

Desired

Strong technical judgment and communication skills; able 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 (e.g., LangSmith or similar).
Experience with advanced agent frameworks (e.g., CrewAI, AutoGen) and multi-agent workflows.
Hands-on experience operating agents in production (safety/guardrails, performance tuning, lifecycle management).
Experience with durable workflow engines (e.g., Temporal) for long-running AI/automation workflows.
Familiarity with Model Context Protocol (MCP) for tool integration and extensible agent systems.
Experience with LLM/agent evaluation frameworks (e.g., BrainTrust, DeepEval, or similar).

Target salary range: $60,001 - $100,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10111346
Position Id: 2617812
Posted 1 hour ago

Company Info

About SAIC

SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Go to company profile

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Job Details

Skills

Security Clearance
Legacy Systems
Internet
Payment Systems
Trading
Code Refactoring
Cloud Computing
Embedded Systems
Collaboration
Regulatory Compliance
Privacy
Finance
Computer Science
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Embedded Systems
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Finance
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Data Science
Data Engineering
Software Modernization
Microservices
LangChain
Python
Natural Language Processing
scikit-learn
PyTorch
TensorFlow
Computer Networking
API
Amazon S3
Amazon DynamoDB
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Amazon RDS
Database
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Continuous Delivery
Terraform
Machine Learning Operations (ML Ops)
Amazon SageMaker
SQL
Docker
Orchestration
Kubernetes
Amazon Web Services
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Machine Learning (ML)
Debugging
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Autogen
Performance Tuning
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Evaluation
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Summary

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

Qualifications

Required

Bachelor's degree in Computer Science, Engineering, Data Science, or related field.(4 years experience in lieu of degree)
Ability to obtain and maintain a public trust requiring U.S. Citizenship or .
0+ years in software, ML, or data engineering, including experience with application modernization.
Familiar 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 (e.g., LangChain, LangGraph).
Proficiency in Python and common ML/NLP libraries (e.g., Hugging Face, Transformers, scikit-learn, PyTorch/TensorFlow).
Production experience with AWS (networking/IAM, Lambda, ECS/EKS, API Gateway, S3, DynamoDB, RDS, OpenSearch, SageMaker, CloudWatch).
Practical experience using AWS Bedrock for LLM-powered applications and agents (knowledge bases, guardrails).
Experience implementing RAG and working with vector search/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 (logging, metrics, drift/quality monitoring) for LLM/agent workflows.
Strong SQL skills and experience integrating legacy data into modern platforms.
Experience with Docker and container orchestration (Kubernetes, AWS ECS/EKS).

Desired

Strong technical judgment and communication skills; able 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 (e.g., LangSmith or similar).
Experience with advanced agent frameworks (e.g., CrewAI, AutoGen) and multi-agent workflows.
Hands-on experience operating agents in production (safety/guardrails, performance tuning, lifecycle management).
Experience with durable workflow engines (e.g., Temporal) for long-running AI/automation workflows.
Familiarity with Model Context Protocol (MCP) for tool integration and extensible agent systems.
Experience with LLM/agent evaluation frameworks (e.g., BrainTrust, DeepEval, or similar).

Target salary range: $60,001 - $100,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

Dice Id: 10111346
Position Id: 2617812
Posted 1 hour ago

Company Info

About SAIC

Go to company profile

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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