SAIC
Join to apply for the
Solutions Architect AI ML
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SAIC 2 days ago Be among the first 25 applicants Join to apply for the
Solutions Architect AI ML
role at
SAIC Get AI-powered advice on this job and more exclusive features. Minimum Clearance Required None
Job ID 2508476
Location
REMOTE WORK, VA, US
Date Posted
2025-08-08
Category
Engineering and Sciences
Subcategory
Solutions Archt
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
Yes
Description
SAIC
is seeking a highly experienced and results-driven
Solutions Architect AI/ML . The ideal candidate will have a strong technical foundation in cloud architecture, data architecture, data analytics, data modeling, machine learning, natural language processing, security, artificial intelligence and other emerging technologies in cloud native environments. This exceptional position will be a key member of an emerging technologies lab which will support many product teams as they seek to migrate, modernize, automate, and innovate their applications. This role requires deep technical expertise and the ability to architect, design, develop, and engineer the innovation, automation, and modernization of complex projects that drive business value and strategic insights.
Key Responsibilities
Operate and maintain an innovation lab for the ideation, design, and engineering of cloud native product modernization and innovation using emerging technologies. Develop end-to-end plans for AI/ML/NLP innovations that are compliant with USPTO cybersecurity policies and Zero-Trust Architecture. Architect, Develop, Build and Deploy pilots, prototypes, and proof of concept solutions to validate potential cloud-native solutions for emerging technology, modernization, and innovation opportunities across major cloud CSPs (AWS, Azure, GCP) Develop, Build, and deploy automation, CI/CD pipelines, scripts, and infrastructure from the ground up using Infrastructure as Code - IaC (tools such as Terraform, CloudFormation) Experience with containerization (Docker, Kubernetes) and serverless architectures. Implement transparency, traceability, and appropriate security handling in line with best practices and applicable compliance standards including Authorization To Operate certifications. Collaborate with cross-functional teams including data engineering, product, and business stakeholders to translate needs into technical solutions. Design and implement predictive models, machine learning algorithms, and statistical analyses to solve complex business problems. Design scalable, secure and cost-effective infrastructure for AI/ML/NLP model development, training/re-training, and deployments. Conduct exploratory data analysis and generate actionable insights from large and complex datasets. Develop data management and data governance plans Implement and document reusable code libraries, SOPs and best practices for modernization, automation, and innovation development and deployment. Conduct and develop AoA and Stay current with advancements in cloud architecture, data science, machine learning, and AI research including open-source LLMs and AI advancements Mentor developers and data scientists and guide the team in adopting new technologies and techniques. Support Agile product teams as a cloud, emerging technologies, and solutions architect subject matter expert across multiple projects/departments. Analyze data and usage to find patterns and solutions to business challenges. Make low risk plans and present business recommendations and demonstrations to stakeholders in a clear manner based on architecture best practices
Qualifications
Required Qualifications
Masters' degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. Minimum 10 years of relevant experience in data science, analytics, machine learning, artificial intelligence or a similar role. Proven track record of delivering impactful emerging technology value including AI/ML/NLP innovations and data-driven solutions in a cloud native environment. Candidates must be able to obtain and maintain a Public Trust clearance based on USPTO regulations Candidates must have lived in the United States for the last 2 years
Technology Stack & Skills Requirements
Programming Languages Python, R, SQL AI, ML, NLP Frameworks, models, and tools Machine Learning & Statistical Tools PyTorch Data Manipulation & Analysis Visualization Tools Tableau, Power BI Big Data & Cloud Platforms Hadoop, Hive, AWS (S3, SageMaker, Redshift), Azure, and GCP Version Control & Collaboration Git, Docker Infrastructure AWS (Primary cloud), Azure and Google Cloud Platforms. Software development methodology DevSecOps with Rally, Automated Deployment pipelines with Git/GitLab, SonarQube, Nexus. Artificial Intelligence Amazon SageMaker and Bedrock with access to frontier models (including Meta's Llama, Anthropic's Claude), Azure AI (including OpenAI's GPT and o - reasoning models), Google Vertex AI and Gemini. For classical ML projects - MLOps with MLFlow. Data Databricks on AWS
Desired Qualifications
Experience with MLOps, model monitoring, and deployment pipelines. Familiarity with NLP, computer vision, or deep learning techniques.
Target salary range $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Computer Hardware Manufacturing, Defense and Space Manufacturing, and IT Services and IT Consulting Referrals increase your chances of interviewing at SAIC by 2x Get notified about new Solutions Architect jobs in
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Solutions Architect AI ML
role at
SAIC 2 days ago Be among the first 25 applicants Join to apply for the
Solutions Architect AI ML
role at
SAIC Get AI-powered advice on this job and more exclusive features. Minimum Clearance Required None
Job ID 2508476
Location
REMOTE WORK, VA, US
Date Posted
2025-08-08
Category
Engineering and Sciences
Subcategory
Solutions Archt
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
Yes
Description
SAIC
is seeking a highly experienced and results-driven
Solutions Architect AI/ML . The ideal candidate will have a strong technical foundation in cloud architecture, data architecture, data analytics, data modeling, machine learning, natural language processing, security, artificial intelligence and other emerging technologies in cloud native environments. This exceptional position will be a key member of an emerging technologies lab which will support many product teams as they seek to migrate, modernize, automate, and innovate their applications. This role requires deep technical expertise and the ability to architect, design, develop, and engineer the innovation, automation, and modernization of complex projects that drive business value and strategic insights.
Key Responsibilities
Operate and maintain an innovation lab for the ideation, design, and engineering of cloud native product modernization and innovation using emerging technologies. Develop end-to-end plans for AI/ML/NLP innovations that are compliant with USPTO cybersecurity policies and Zero-Trust Architecture. Architect, Develop, Build and Deploy pilots, prototypes, and proof of concept solutions to validate potential cloud-native solutions for emerging technology, modernization, and innovation opportunities across major cloud CSPs (AWS, Azure, GCP) Develop, Build, and deploy automation, CI/CD pipelines, scripts, and infrastructure from the ground up using Infrastructure as Code - IaC (tools such as Terraform, CloudFormation) Experience with containerization (Docker, Kubernetes) and serverless architectures. Implement transparency, traceability, and appropriate security handling in line with best practices and applicable compliance standards including Authorization To Operate certifications. Collaborate with cross-functional teams including data engineering, product, and business stakeholders to translate needs into technical solutions. Design and implement predictive models, machine learning algorithms, and statistical analyses to solve complex business problems. Design scalable, secure and cost-effective infrastructure for AI/ML/NLP model development, training/re-training, and deployments. Conduct exploratory data analysis and generate actionable insights from large and complex datasets. Develop data management and data governance plans Implement and document reusable code libraries, SOPs and best practices for modernization, automation, and innovation development and deployment. Conduct and develop AoA and Stay current with advancements in cloud architecture, data science, machine learning, and AI research including open-source LLMs and AI advancements Mentor developers and data scientists and guide the team in adopting new technologies and techniques. Support Agile product teams as a cloud, emerging technologies, and solutions architect subject matter expert across multiple projects/departments. Analyze data and usage to find patterns and solutions to business challenges. Make low risk plans and present business recommendations and demonstrations to stakeholders in a clear manner based on architecture best practices
Qualifications
Required Qualifications
Masters' degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. Minimum 10 years of relevant experience in data science, analytics, machine learning, artificial intelligence or a similar role. Proven track record of delivering impactful emerging technology value including AI/ML/NLP innovations and data-driven solutions in a cloud native environment. Candidates must be able to obtain and maintain a Public Trust clearance based on USPTO regulations Candidates must have lived in the United States for the last 2 years
Technology Stack & Skills Requirements
Programming Languages Python, R, SQL AI, ML, NLP Frameworks, models, and tools Machine Learning & Statistical Tools PyTorch Data Manipulation & Analysis Visualization Tools Tableau, Power BI Big Data & Cloud Platforms Hadoop, Hive, AWS (S3, SageMaker, Redshift), Azure, and GCP Version Control & Collaboration Git, Docker Infrastructure AWS (Primary cloud), Azure and Google Cloud Platforms. Software development methodology DevSecOps with Rally, Automated Deployment pipelines with Git/GitLab, SonarQube, Nexus. Artificial Intelligence Amazon SageMaker and Bedrock with access to frontier models (including Meta's Llama, Anthropic's Claude), Azure AI (including OpenAI's GPT and o - reasoning models), Google Vertex AI and Gemini. For classical ML projects - MLOps with MLFlow. Data Databricks on AWS
Desired Qualifications
Experience with MLOps, model monitoring, and deployment pipelines. Familiarity with NLP, computer vision, or deep learning techniques.
Target salary range $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Computer Hardware Manufacturing, Defense and Space Manufacturing, and IT Services and IT Consulting Referrals increase your chances of interviewing at SAIC by 2x Get notified about new Solutions Architect jobs in
Virginia, United States . Integration Solution Architect (Workfront Fusion)
Reston, VA $99,216.00-$217,834.00 20 hours ago Senior Solutions Architect, Data Processing
Virginia, United States $184,000.00-$287,500.00 1 day ago Virginia, United States $46,000.00-$210,000.00 3 weeks ago McLean, VA $86,800.00-$198,000.00 2 weeks ago Herndon, VA $145,000.00-$155,000.00 6 days ago Reston, VA $118,730.00-$201,840.00 3 weeks ago Cloud Architect :NMS --using C++ and Python
Arlington, VA $100,000.00-$118,000.00 4 months ago Scott AFB, IL $98,500.00-$206,800.00 2 weeks ago Solutions Architect - High Performance Software
AWS Solutions Architect 3 month long - Remote - USA
AI and Data Business Architect, Business Solutions Commercialization
Virginia, United States $46,000.00-$242,900.00 2 weeks ago McLean, VA $112,800.00-$257,000.00 2 weeks ago Arlington, VA $150,000.00-$250,000.00 2 days ago Virginia Beach, VA $150,000.00-$250,000.00 2 days ago McLean, VA $99,000.00-$225,000.00 1 week ago Senior Architect, Security, Field CTO Office
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr