Automation & AI Engineer Associate
SAIC
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. This role is ideal for someone who enjoys solving complex problems with modern AI and cloud technologies in a collaborative team environment.
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.
Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.(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., 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.
~ 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).
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.
Hands-on experience operating agents in production (safety/guardrails, performance tuning, lifecycle management).
Temporal ) for long-running AI/automation workflows.
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.
For ongoing news, please visit our newsroom.
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.
Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.(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., 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.
~ 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).
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.
Hands-on experience operating agents in production (safety/guardrails, performance tuning, lifecycle management).
Temporal ) for long-running AI/automation workflows.
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.
For ongoing news, please visit our newsroom.
Reference: WJ-5392_16314005