SAIC

Senior AI Engineer

SAIC • $120K — $145K *
Pierre, SD 57501Hybrid
Enterprise Technology
11 - 15 years of experience
3 days ago
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Bachelor's or higher in Computer Science, Machine Learning, or related field (4 years experience may substitute degree) and 18 years overall experience.
  • 13+ years of professional experience in Software/IT.
  • 7+ years of hands-on experience in Data Analysis and Machine Learning.
  • Proven expertise in maintaining and enhancing machine learning systems focused on document processing.
  • Strong proficiency in Python and modern ML libraries/frameworks like TensorFlow and PyTorch.
  • Demonstrated expertise with various AWS services including Bedrock, Lambda, and more.
  • Experience with image transformer models and self-supervised learning techniques such as Microsoft’s DiT.

Responsibilities

  • Design, develop, and deploy predictive models with machine learning algorithms.
  • Architect and implement end-to-end AI/ML/NLP solutions adhering to cybersecurity policies.
  • Apply software engineering principles to create efficient, maintainable, and reliable code.
  • Identify and resolve technical challenges across the AI/ML stack including performance issues.
  • Build and maintain CI/CD pipelines using Terraform, GitLab, and automated testing frameworks.
  • Support production operations through monitoring, incident analysis, and issue resolution.
  • Participate in Agile processes, including sprint planning and retrospectives.

Benefits

  • AWS Certification support for continued professional development.
  • Opportunities for collaboration with cross-functional teams.
  • Focus on cutting-edge AI/ML/NLP projects in a cloud-native environment.
  • Supportive work culture for innovation and technical leadership.
  • Empowering role with responsibilities that influence AI solutions at scale.
Full Job Description
Job Description

SAIC is looking for a Senior AI Engineer who will serve as a key technical leader within a high-performing development team, responsible for designing, implementing, and operationalizing advanced AI/ML/NLP solutions in AWS cloud-native environments. The ideal candidate has deep expertise in machine learning, data analytics, and modern software engineering practices, with proven experience building and maintaining document-centric AI systems at scale.

Key Responsibilities
  • Design, develop, and deploy predictive models using machine learning algorithms (regression, classification, clustering, neural networks).
  • Architect and implement end-to-end AI/ML/NLP solutions that comply with cybersecurity and enterprise policy requirements.
  • Apply sound software engineering principles to produce code that is maintainable, efficient, reliable, secure, fault-tolerant, and well-documented.
  • Identify and resolve performance bottlenecks, security vulnerabilities, and other technical challenges across the AI/ML stack.
  • Build and maintain CI/CD pipelines using Terraform, GitLab, and GitLab Runner, including automated testing, quality checks, and security scanning.
  • Support production operations, including deployments, smoke testing, monitoring, incident/root cause analysis, and issue resolution.
  • Participate in Agile development processes: review and refine user stories, estimate tasks, create sprint backlogs, and contribute to sprint reviews, demos, and retrospectives.
  • Collaborate with cross-functional teams (product, architecture, DevOps, security, QA) to ensure solutions align with client objectives and organizational standards.
  • Design and run experiments, analyze results, and fine-tune models to optimize performance for Document AI use cases.
  • Document technical designs, models, and processes; clearly communicate findings and recommendations to technical and non-technical stakeholders.


Qualifications

Required:
  • Bachelor's degree or higher in Computer Science, Machine Learning, or a related field. (4 years experience in lieu of degree) and 18 years experience.
  • 13+ years of overall professional experience in Software/IT
  • 7+ years of hands-on experience in Data Analysis and Machine Learning.
  • Ability
  • Proven experience maintaining and enhancing machine learning systems, preferably focused on document processing and Document AI.
  • Strong proficiency in Python and modern ML libraries/frameworks such as TensorFlow and PyTorch.
  • Demonstrated expertise with AWS services, including (but not limited to): Bedrock, Lambda, ECS, SQS, SNS.
  • Hands-on experience creating Terraform configurations and using GitLab Runner to deploy working software in cloud environments.
  • Proven expertise working with image transformer models for document image understanding, such as Microsoft's DiT.
  • Demonstrated experience implementing self-supervised learning techniques, particularly for pre-training models on large-scale unlabeled text images (e.g., approaches similar to Microsoft's DiT).
  • Practical experience applying Transformer models to Document AI tasks, including:
    • Document image classification
    • Document layout analysis
  • Proven ability to leverage self-supervised, pre-trained models (e.g., DiT) as backbone networks to achieve state-of-the-art results on downstream Document AI tasks.
  • Proficiency in designing experiments, analyzing outcomes, and tuning models for optimal performance; ability to interpret and communicate experimental results effectively.
  • Familiarity with integrating Transformer models into OCR pipelines and collaborating with OCR technologies to improve text detection and extraction.
  • Solid understanding of image processing techniques, including OpenCV usage for resizing, feature extraction, and other preprocessing tasks for document image analysis.
  • Experience building solutions with AWS services such as ECS, Lambda, S3, SQS, SNS, ELB, ALB, and Aurora RDS


Desired:
  • Programming experience with Java.
  • Experience with SQL and relational databases (e.g., Oracle).
  • Experience with web services and REST-based APIs.
  • Familiarity with Spring, Spring Boot, Hibernate, JPA, MyBatis ORM frameworks.
  • Experience with JBoss/Fuse, Camel, and AMQ.
  • Additional experience in broader AWS architecture and integration patterns.

Certifications
  • At least one current AWS certification is required, such as:
    • AWS Certified Solutions Architect - Associate
    • AWS Certified Developer - Associate
    • AWS Certified Machine Learning - Specialty/Engineer Associate
    • AWS Certified SysOps Administrator - Associate
    • AWS Certified Cloud Practitioner


About SAIC

Science Applications International Corporation (SAIC) is a technology integrator in the technical, engineering, intelligence, and enterprise information technology markets. SAIC has approximately 26,000 employees and operates in more than 70 countries. The company was founded in 1969 and is headquartered in Reston, Virginia. SAIC provides services to the U.S. government, including the Department of Defense, the intelligence community, and civilian agencies. The company also serves commercial customers in the healthcare, energy, and financial services sectors.
Learn more about SAIC
Size
26,000 employees
Market Cap
$6 billion
Industry
Information Technology
Net Income
$206 million
Founded
1969
5 Year Trend
+10.7%
Revenue
$6.8 billion
NASDAQ
SAIC
* Ladders Estimates

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