Jobs in the United States

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Added 13 mins ago
Agentic AI Engineer - Kennesaw, GA
United Contractor Services
Kennesaw, GA
3–5 years of professional software engineering experience, with at least 1 year shipping production AI/LLM systems (not prototypes, not demos).
Added 20 mins ago
Software Engineer, Enterprise Build
Robinhood
Menlo Park, CA
Demonstrated AI-native development: daily fluency with agentic coding tools, experience building LLM-powered applications or agentic workflows, and the judgment to review, harden, and…
Added 20 mins ago
D
AI Enablement Engineer
DRW
Chicago, IL
- $175,000 to $225,000 USD / year
Technical fluency in prompt engineering and a deep, practical understanding of current LLM capabilities, behaviors, and limitations.
Added 29 mins ago
Delivery Manager
EXL Talent Acquisition Team
NH
Generative AI Integration: Hands-on experience with LLM (Large Language Models), Agentic AI, and integration with APIs from platforms like OpenAI, Hugging Face, and AWS AI services.
Added 30 mins ago
GCP Data Engineer (Vertex AI)
Capgemini
New York, NY, NY
Google Cloud Associate Cloud Engineer or Professional Cloud Developer
Added 30 mins ago
C
Senior Data Scientist Engineer
Capgemini
Atlanta, GA, GA
- $103,330 to $128,656 USD / year
Advanced knowledge in Machine Learning models and Large Language Models (LLM), using langchain or a similar tool.
Added 34 mins ago
IG
Pharma AI Engineer
Insight Global
Tarrytown, NY
- From $74 USD / hour
…applications utilizing machine learning and large language model (LLM) technologies. The engineer will build solutions involving retrieval-augmented generation (RAG), prompt engineering,…
Added 37 mins ago
Snowflake Sr. Data/AI Engineer
CGI Technologies and Solutions, Inc.
Minneapolis, MN
Practical experience with Snowflake Cortex AI, including Cortex AISQL functions, Cortex Search, or Cortex Analyst, or a demonstrated ability to rapidly build LLM and RAG solutions.
Added 1 hour ago
Product Associate - Merchant Service Data Platform
JPMC page
Palo Alto, CA
Exposure to AI/LLM-based tools for data analysis, documentation, or workflow automation
Added 1 hour ago
Product Associate - Merchant Service Data Platform - Payments
JPMC page
Palo Alto, CA
Exposure to AI/LLM-based tools for data analysis, documentation, or workflow automation
Added 1 hour ago
Director, AI Security Enablement
ABM Industries
Dunwoody, GA
Working knowledge of leading AI security and governance frameworks, such as NIST AI RMF, OWASP LLM Security Guidance, MITRE ATLAS, ISO 42001, or similar standards.
Added 1 hour ago
Technical Lead, Automation & AI Enablement
TireHub
Atlanta, GA
Added 1 hour ago
Senior Full-Stack AI Engineer
CGI Technologies and Solutions, Inc.
Atlanta, GA
…stack - from backend development, APIs, data pipelines, and LLM inference to modern frontend experiences and cloud-native deployment. You’ll combine machine learning expertise, software…
Added 1 hour ago
IG
Senior Data Scientist
Insight Global
Boston, MA
- $120,000 to $150,000 USD / year
5+ years of experience working in Data Science, Applied AI, Machine Learning, or a related area, with exposure to Generative AI, LLM-based applications, or AI agents.
Added 1 hour ago
Product Manager
TechSee
New Jersey · New York
Solid working knowledge and hands-on experience in Voice AI, Conversational AI, or Autonomous Agents (including LLM-driven workflows and action-oriented agent architectures).
Added 1 hour ago
AI Developer T5
CACI
Chantilly, VA · Chantilly
CACI is seeking an AI Web Developer to design, develop, and enhance a generative AI (GenAI) application that streamlines business processes for a government customer. In this role, you'll…
Added 1 hour ago
AI Web Developer T4
CACI
Chantilly, VA · Chantilly
CACI is seeking an AI Web Developer to build and enhance a generative AI (GenAI) application that streamlines business processes for a government customer. You’ll develop solutions using…
Added 1 hour ago
AI Architect
CGI Technologies and Solutions, Inc.
Montreal, CA
Helping data engineer and prompt engineer the LLM solutions end-to-end to enhance end user experience
Added 1 hour ago
C
Principal Field Solution Engineer
Cognizant
South San Francisco, CA
- $200,000 to $250,000 USD / year
…applications. Provides a full-stack AI engineering approach - LLM orchestration, agentification, blueprints, guardrails, monitoring/evaluation and governance - so engineers ship resilient…
Added 1 hour ago
Research Scientist Intern PhD, PAR Safety Evals and Red Teaming
Meta
Menlo Park, CA
…Evaluations, Synthetic Data Generation, Automated Red teaming, LLM-as-a-Judge, benchmark design, eval harnesses, prompt injection, agent environments.Our internships are 16 weeks long and…
Added 1 hour ago
Senior Product Manager, Builder - Tech, Ring
Amazon
Hawthorne, CA · Sunnyvale, CA
Experience defining and launching consumer-facing products powered by GenAI capabilities such as LLM integrations
Added 1 hour ago
Sr. Researcher, Consumer Insights
SanDisk
Milpitas, CA
Use AI and LLM tools to speed up research workflows, such as open-end coding, transcript synthesis, desk research, and drafting questionnaires and discussion guides
Added 1 hour ago
Context Engineering Experienced Manager, Digital Transformation & Innovation
BDO USA Experienced
Woodbridge, NJ · Grand Rapids, MI
Evaluates and integrates emerging context-engineering tools, frameworks, and knowledge platforms to continuously improve grounding quality and developer enablement
Added 1 hour ago
AI Engineering Experienced Manager, Digital Transformation & Innovation
BDO USA Experienced
Grand Rapids, MI · Woodbridge, NJ
…continuous improvement of agent architectures, orchestration, and LLM-powered application features. This role owns the hands-on engineering of intelligent capabilities - from model…
Added 1 hour ago
BU
Tax Intern, International Tax Services - Summer 2027 (NYC)
BDO USA Campus
New York, NY · NY
- $32 to $45 USD / hour
Enrolled in a Bachelors or Master’s program in Accounting, Taxation or Master of Laws (LLM ) degree program other relevant field, required

RIVA Solutions, Inc.

Artificial Intelligence and Machine Learning Engineer

United States

$180,000 - $190,000 USD

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Job details

Pay: $180,000 - $190,000 USD
Experience: 5+ years of applied ML, data science, or AI engineering experience, including 2+ years building applications on large language models in production or near-production settings.
Posting language: English
Posted: Nov 3, 2026

Original job description

RESULTS. INNOVATION. VALUES. ACCOUNTABILITY.

That’s RIVA.

We’re a mission-driven IT services company and systems integrator supporting digital transformation and modernization for federal government agencies. Since 2009, we’ve partnered with our customers to solve complex challenges through smart, practical innovation to deliver real outcomes where they matter most. Our teams are made up of industry-leading experts who are passionate about doing great work and making a difference. We don’t just develop solutions, we support efforts that strengthen communities and serve the public good.

RIVA’s culture is built on four core values: Results, Innovation, Values, and Accountability. They guide how we work, how we collaborate, and how we measure success. Our employee-first approach is rooted in trust, ownership, and meaningful work. By investing in our people and fostering a flexible, supportive environment, employees have the opportunity to grow their skills, contribute ideas, and make an impact from day one. all while supporting missions that matter.

POSITION OVERVIEW

RIVA Solutions seeks an AI Subject Matter Expert to support the USPTO P-TACTS program, the Patent Trial and Appeal Board (PTAB) case tracking and electronic filing system. You will design, build, and evaluate production AI solutions that turn unstructured legal filings into reliable, structured data. A current example: a pipeline that reads PTAB petitions, institution decisions, and final written decisions, then extracts trial-level and claim-level outcomes. The team measures the pipeline against analyst-labeled ground truth. The output supports reporting that PTAB delivers to Congress. You will work mainly in Python on Databricks, inside a secured federal environment. Development runs on remote instances through VPN. LLM access runs through an agency AI gateway, and approved models trail the commercial market. You will work directly with government stakeholders and engineers to turn mission needs into working, maintainable, and measurable applications.

WHAT YOU WILL DO

• Build LLM pipelines that extract structured data from long, unstructured legal documents.

Decide when a task needs a flexible agentic harness and when it needs a constrained, step-by-step pipeline. Build either one.
Validate model outputs against schemas, allowed values, and business rules. Handle failures without losing records silently.
Design evaluations against ground truth. Choose the right metric for the problem, run error analysis, and report results in plain terms.
Use AI coding tools such as Claude Code every day to build, test, and review code.
Keep pipelines stable as approved models change, using version pinning, regression test sets, and prompt versioning.
Advise the customer on future use cases, including fine-tuning small language models or adapters when the data supports it.

MINIMUM QUALIFICATIONS

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
5+ years of applied ML, data science, or AI engineering experience, including 2+ years building applications on large language models in production or near-production settings.
Strong Python skills, including data work with pandas or PySpark.
Solid ML fundamentals: classification, train and test splits, overfitting, data leakage, and model selection.
Hands-on evaluation skill: precision, recall, F1, confusion matrices, class imbalance, and comparison to labeled ground truth.
Production experience building with LLM APIs, including structured output, tool calling, and prompt design.
Experience building or debugging an agent harness, and the judgment to explain when a structured pipeline is the better choice.
Experience validating LLM output with schemas (for example, Pydantic or JSON Schema), retries, and exception handling.
Daily use of AI coding assistants such as Claude Code, Codex, Cursor, or GitHub Copilot.
Hands-on experience building and running ML or LLM workloads on Databricks or a major cloud platform (AWS, Azure, or GCP). Examples: data pipelines in PySpark or notebooks, calling hosted models through Databricks Model Serving, Amazon Bedrock, Amazon SageMaker, Azure OpenAI, Azure Machine Learning, or Vertex AI, and tracking experiments in MLflow.
AWS Certified Machine Learning Engineer - Associate, or an equivalent cloud ML certification. An active AWS Certified Machine Learning - Specialty also counts.
Eligibility to obtain a USPTO Public Trust and authorization to work in the U.S.

PREFERRED QUALIFICATIONS

Databricks experience, including Jobs, Delta Lake, MLflow, and Unity Catalog. PyTorch experience, including fine-tuning small language models or training LoRA adapters.
AWS experience, including Amazon Bedrock.
Information extraction from scanned or long documents, including OCR and layout analysis.
Retrieval augmented generation and vector databases.
MLOps experience: pipeline orchestration, evaluation sets run in CI, and monitoring of output quality over time.
Experience working through an enterprise AI gateway with cost tracking and request filtering.
Databricks Certified Machine Learning Professional, Databricks Certified Machine Learning Associate, Databricks Certified Generative AI Engineer Associate, AWS Certified Machine Learning Engineer - Associate, or an equivalent cloud certification.
Experience with USPTO, PTAB, or patent and legal data.
Prior delivery on federal government contracts, including FISMA Moderate systems.

The salary or salary range for this role reflects an estimated range informed by multiple compensation factors. Final offers may vary based on considerations such as relevant experience, education and training, critical skillsets, and overall business needs.

Pay range

$180,000 - $190,000 USD

EQUAL EMPLOYMENT OPPORTUNITY & ACCOMMODATION

We believe great teams are built from different backgrounds, perspectives, and lived experiences, and we mean that beyond the buzzwords.

RIVA is an equal opportunity employer. We welcome applicants of every race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, and any other characteristic protected by law.

If you need an accommodation at any point in our process, send an email to talent@rivasolutionsinc.com, we'll be happy to help.

VETERAN SUPPORT & ACCESSIBILITY

As a federal contractor, RIVA follows the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Section 503 of the Rehabilitation Act, supporting the employment and advancement of protected veterans and individuals with disabilities. If you're a veteran, we encourage you to self-identify during the application process, it helps us track our hiring commitments and, in some cases, may support priority referral for open roles.

RIVA also invites applicants to voluntarily self-identify as having a disability during the application process, not because it affects your chances of being hired, but because it helps us measure how well we're living up to our commitments and identify where we can do better. Your response is confidential and entirely optional.

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More about this job

Skills

Artificial intelligence
Machine learning
Reporting
Python
Databricks
VPN
Computer science
pandas
PySpark
ML
Debugging
GitHub
AWS
Microsoft Azure
Google Cloud
Mlflow
AWS certification
Unity
PyTorch
Information extraction
OCR

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