Salesforce Developer

Metadata Dashboard Usability Amazon S3 Consulting Statistics Data Lakes Databricks TensorFlow Ontologies Mathematics Scalability Data Access Data Science Communication AWS SageMaker Cloud Services Solution Design Data Processing Sprint Planning Semantic Search Computer Science Machine Learning Palantir Foundry Agile Methodology Unstructured Data Applied Analytics Thought Leadership Document Retrieval Amazon Web Services Reporting Solutions Analytical Dashboard Explainable AI (XAI) Information Retrieval Artificial Intelligence Pandas (Python Package) Applied Machine Learning SQL (Programming Language) Python (Programming Language) Ethical Standards And Conduct Scikit-Learn (Python Package) Natural Language Processing (NLP) PyTorch (Machine Learning Library) Optical Character Recognition (OCR) Application Programming Interface (API), * Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions.

• Design and develop machine learning models and analytical approaches to support search, discovery, and insight generation across structured and unstructured data.
• Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced information retrieval and relationship analysis.
• Leverage document-based data (e.g., OCR/ICR outputs, metadata, and free text) to extract insights and support downstream analytics and search solutions.
• Collaborate with data engineers to integrate models into production environments, including Palantir Foundry, Databricks, and AWS-based platforms.
• Develop model evaluation frameworks, confidence scoring, and explainability approaches to ensure transparency and usability of AI outputs.
• Support development of analytics, reporting, and dashboards to drive operational insights and decision-making.
• Operate within an Agile delivery model, contributing to sprint planning, experimentation, and iterative solution delivery.
• Communicate findings and recommendations clearly to both technical and non-technical audiences, including client stakeholders.
• Contribute to solution design, proposal support, and thought leadership in AI/analytics capabilities., CrewAI Planning Equities PineCone Weaviate Telemetry DevSecOps LangChain AI Agents Semantics Langgraph Leadership Automation Algorithms Kubernetes TensorFlow Agentic AI Scalability Market Data Nvidia CUDA Coordinating Data Science Azure OpenAI Communication Data Analysis Microservices Observability Cyber Security Data Ingestion Data Pipelines Microsoft Azure Problem Solving Decision Making Data Processing AI/ML Inference Language Models Vector Database Ancient History Computer Science Machine Learning Business Metrics Model Validation Product Planning Agile Methodology Docker (Software) Data Intelligence Performance Tuning Performance Metric Prompt Engineering Workflow Management Amazon Web Services Feature Engineering Multi-Agent Systems Software Development Lifecycle Management Performance Appraisal Programming Languages Cloud-Native Computing API System Integration Artificial Intelligence Enterprise Architecture Cyber Security Policies Concept Drift Detection R (Programming Language) Named Entity Recognition Java (Programming Language) Machine Learning Frameworks Python (Programming Language) Scikit-Learn (Python Package) Continuous Improvement Process Retrieval Augmented Generation Machine Learning Model Training Microsoft Certified Professional Natural Language Processing (NLP) PyTorch (Machine Learning Library) National Incident Management Systems Application Programming Interface (API) +0

Salesforce Developer SME AI/ML Engineer Leidos Alexandria, VA*On-Site CI/CD CrewAI Planning Equities PineCone Weaviate Telemetry DevSecOps LangChain, CrewAI Planning Equities PineCone Weaviate Telemetry DevSecOps LangChain AI Agents Semantics Langgraph Leadership Automation Algorithms Kubernetes TensorFlow Agentic AI Scalability Market Data Nvidia CUDA Coordinating Data Science Azure OpenAI Communication Data Analysis Microservices Observability Cyber Security Data Ingestion Data Pipelines Microsoft Azure Problem Solving Decision Making Data Processing AI/ML Inference Language Models Vector Database Ancient History Computer Science Machine Learning Business Metrics Model Validation Product Planning Agile Methodology Docker (Software) Data Intelligence Performance Tuning Performance Metric Prompt Engineering Workflow Management Amazon Web Services Feature Engineering Multi-Agent Systems Software Development Lifecycle Management Performance Appraisal Programming Languages Cloud-Native Computing API System Integration Artificial Intelligence Enterprise Architecture Cyber Security Policies Concept Drift Detection R (Programming Language) Named Entity Recognition Java (Programming Language) Machine Learning Frameworks Python (Programming Language) Scikit-Learn (Python Package) Continuous Improvement Process Retrieval Augmented Generation Machine Learning Model Training Microsoft Certified Professional Natural Language Processing (NLP) PyTorch (Machine Learning Library) National Incident Management Systems Application Programming Interface (API) +0

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• A minimum of 4 years of experience in data science, machine learning, or applied analytics roles
• U.S. Citizenship required and ability to obtain and maintain a Public Trust clearance.
• Experience developing and applying machine learning models, including:

• Natural Language Processing (NLP)
• Semantic search or information retrieval
• Entity resolution or relationship modeling

• Experience working with large-scale structured and unstructured data, particularly document-based datasets (e.g., text, PDFs, images).
• Experience leveraging metadata and extracted features to support analytics and modeling.
• Strong proficiency in Python for data science and machine learning (e.g., Pandas, Scikit-learn, PyTorch or TensorFlow) and solid SQL skills.
• Experience working with Databricks and/or Spark-based environments for scalable data processing.
• Familiarity with AWS cloud services for data access, processing, or model deployment.
• Experience working with data lake or lakehouse architectures (e.g., AWS S3, Databricks), including querying and transforming large-scale datasets.
• Experience integrating models into production environments (e.g., APIs, batch pipelines, or embedded analytics platforms).
• Understanding of model evaluation, validation, and performance metrics.
• Strong communication skills and ability to translate analytical outputs into actionable insights.
• Experience working in cross-functional, matrixed teams in an Agile environment.

What Would Be Nice To Have:

• Experience working with Palantir Foundry and/or Palantir AIP, particularly in support of AI-enabled search or analytics workflows.
• Consulting experience strongly preferred
• Experience building AI-enabled search solutions, including semantic search, document retrieval, and ranking models.
• Experience with multimodal data processing, including text and image-based analytics.
• Familiarity with OCR/ICR pipelines and document intelligence use cases.
• Experience with enterprise ML platforms (e.g., AWS SageMaker, Databricks Machine Learning) for model development, deployment, and lifecycle management.
• Experience developing explainable AI (XAI) solutions, including confidence scoring and traceability of results.
• Experience designing analytics dashboards or reporting solutions for end users.
• Previous experience supporting federal clients or working in regulated environments.
• Experience in a consulting firm and/or client-facing delivery role.
• Experience supporting training, user enablement, or scaling analytics capabilities across teams.
• Familiarity with graph-based analytics, ontology-driven models, or relationship mapping., Semantics Langgraph Leadership Algorithms Kubernetes TensorFlow Agentic AI Scalability Reliability Market Data Nvidia CUDA Coordinating Data Science Azure OpenAI Communication Data Analysis Microservices Observability Cyber Security Data Pipelines Problem Solving Decision Making Data Processing Team Management AI/ML Inference Vector Database Ancient History Computer Science Machine Learning Business Metrics Model Validation Product Planning Agile Methodology Docker (Software) Data Intelligence Performance Tuning Performance Metric Prompt Engineering Workflow Management Multi-Agent Systems Lifecycle Management Top Secret Clearance Cloud-Native Computing API System Integration Artificial Intelligence Enterprise Architecture Large Language Modeling Cyber Security Policies R (Programming Language) Named Entity Recognition Python (Programming Language) Continuous Improvement Process Retrieval Augmented Generation Machine Learning Model Training Microsoft Certified Professional Natural Language Processing (NLP) Generative Artificial Intelligence PyTorch (Machine Learning Library) National Incident Management Systems Application Programming Interface (API)

The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Position may be eligible for a discretionary variable incentive bonus
• Parental Leave and Adoption Assistance
• 401(k) Retirement Plan
• Basic Life & Supplemental Life
• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
• Short-Term & Long-Term Disability
• Student Loan PayDown
• Tuition Reimbursement, Personal Development & Learning Opportunities
• Skills Development & Certifications
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Emergency Back-Up Childcare Program
• Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.