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Added 4 mins ago
Databricks Architect - Tarrytown, NY [Hybrid]
OMG Technology
NY, NY
We are looking for a strong Databricks Architect to lead enterprise-scale Lakehouse architecture and implementation on AWS. The role involves designing scalable data solutions, modernizing…
Added 9 mins ago
Solutions Architect - Retail
Databricks
Remote, United States
As a Solutions Architect, you will lead the technical strategy for your customers - owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer…
Added 11 mins ago
Manager, Machine Learning
Toyota
Plano, TX
…research engines, such as MILP, and analytics applications on AWS, Snowflake, or comparable platforms. Evaluate emerging techniques such as generative AI, simulation, or advanced…
Added 12 mins ago
R
Staff Platform Engineer
Redox
Remote, United States
- $185,000 to $210,000 USD / year
Software Platform/Tools: AWS, Docker, EKS; GitHub Actions (CI), ArgoCD (CD), Atlantis; Kyverno, Karpenter, KEDA, VPA, Velero, Crossplane; Prometheus, Grafana, InfluxDB, Sumo Logic, Mimir,…
Added 14 mins ago
AI
Cloud Migration Engineer II
Applied Information Sciences, Inc
Remote, United States
- $121,000 to $182,000 USD / year
…on-premises data centers to Microsoft Azure and Amazon Web Services (AWS). The role independently assesses technical readiness, selects and adapts approved migration patterns, coordinates…
Added 16 mins ago
DevOps Platform Engineer, Senior
Booz Allen Hamilton_United States
San Diego, CA
Experience serving as a technical lead, principal engineer, lead systems engineer, solution architect, chief engineer support lead, or technical authority for a complex platform, product,…
Added 16 mins ago
Software Engineer
Booz Allen Hamilton_United States
Aurora, CO
AWS Certified Solutions Architect or Developer Certification
Added 16 mins ago
Data Analyst
Booz Allen Hamilton_United States
Camp Lejeune, NC
…clients to understand their questions and challenges, and then architect data-driven solutions within their data-rich environments. Not only will you build models to predict future…
Added 24 mins ago
Principal Software Engineer - AI Platform
Western Governors University
Salt Lake City, UT
As Principal Software Engineer, AI Platform, you will architect and build this platform from the ground up. You will shape retrieval, inference, orchestration, guardrails, evaluation,…
Added 37 mins ago
WMS Software Developer [OPERATIONS TECHNOLOGY]
HelloFresh
Newark, NJ
…Advantage/ HighJump Platform) via Webwise Page Editor, Advantage Architect and SQL. This position is preferred to be seated and eligible for hybrid work office policy in one of the…
Added 55 mins ago
S
Senior AI Security Automation Engineer
SSB&T
Quincy, MA · Princeton, NJ · Boston, MA · Clifton, NJ · Austin, TX
- $120,000 to $202,500 USD / year
Architect retrieval and context-engineering approaches including embeddings, semantic search, grounding, summarization, and prompt/version management
Added 1 hour ago
Sr. Solutions Architect - Travel and Hospitality
Databricks
Remote, United States
As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive consumption strategy, own…
Added 1 hour ago
Solutions Architect - Retail
Databricks
Remote, United States
As a Solutions Architect, you will lead the technical strategy for your customers - owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer…
Added 1 hour ago
Data Engineer 5 (Senior Manager, IC)
Capital One
NY · McLean, VA · Cambridge, MA
Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
Added 1 hour ago
Data Engineer 5
Capital One
NY · McLean, VA · Cambridge, MA
Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
Added 1 hour ago
Lead Infrastructure Engineer - Powering Identity & Access Management at Scale
JPMC page
Columbus, OH · Plano, TX · Jersey City, NJ
…engineering technologies and works with other platforms to architect and implement changes required to resolve issues and modernize the organization and technology…
Added 1 hour ago
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AI Lead
Capgemini
Santa Clara, CA, CA
- $101,140 to $182,624 USD / year
We are looking for a Data & AI Architect/Lead Engineer to drive the design, development, and delivery of enterprise-scale Data and AI solutions. This role combines hands-on technical…
Added 1 hour ago
Unified Communications (UC) Architect
GD Information Technology, Inc.
United States
The Unified Communications (UC) Architect will lead the technical design and implementation of large‑scale, global network operations and modernization contract supporting the U.S.…
Added 1 hour ago
WiFi Network Architect
GD Information Technology, Inc.
United States
The WiFi Network Architect will lead the technical design and implementation of large‑scale, global network operations and modernization contract supporting the U.S. Department of State’s…
Added 2 hours ago
Senior Software Engineer
CACI International
Washington, DC
Design, build, and maintain full-stack applications using modern technologies such as React, TypeScript, NodeJS, Python, and .NET
Added 2 hours ago
Senior DevOps Engineer
Blitzy
Cambridge, MA
…platform. Based out of our Cambridge, MA headquarters, you'll architect and maintain the scalable, resilient systems that enable Blitzy to autonomously deliver production-ready software at…
Added 2 hours ago
Senior Software Engineer, Observability
Robinhood
Menlo Park, CA
Deep expertise in Kubernetes and public cloud environments (AWS preferred), with the ability to architect and operate distributed systems at scale regardless of specific vendor tooling.
Added 2 hours ago
T
Software Architect
TEKsystems
Pittsburgh, PA
- $62.5 to $72.5 USD / hour
software engineering, leadership communication, enterprise application, saas, java, C#, Aws, python, javascript, typescript, scala, software architecture, distributed systems, microservices…
Added 2 hours ago
Principal Software Engineer - AI Platform
Western Governors University
Salt Lake City, UT
As Principal Software Engineer, AI Platform, you will architect and build this platform from the ground up. You will shape retrieval, inference, orchestration, guardrails, evaluation,…
Added 2 hours ago
AWS Al / IoT Architect
Redapt
Remote, United States
We are looking for a Senior AWS IoT Architect to join our Cloud Solutions team. This hands-on role will build and operate secure, multi-tenant IoT platforms on AWS, connecting embedded…

Node.Digital

Intelligent Automation/AI-ML Engineer

Herndon, VA, United States

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Job details

Posting language: English
Posted: Oct 28, 2026

Original job description

Intelligent Automation/AI-ML Engineer Location: Herndon, VA (Hybrid Work) Preferred: US Citizenship Experience: 3+ yrs & 5 yrs Role Summary The Intelligent Automation / AI-ML Engineer is the architect and guardian of intelligent automation solutions that incorporate AI/ML technologies, built on open-source AI models and the Model Context Protocol (MCP). The role ensures the operational efficiency and continuous refinement of integrated AI/ML solutions. Responsibility spans the design, maintenance and optimization of intelligent applications, as well as troubleshooting and resolving issues that arise after implementation. The engineer also explores new ways to embed artificial intelligence and machine learning into automations to support continuous improvement, learning and augmented decision making, and builds repeatable intelligent solutions and bots for document processing, data cleansing and similar use cases. The role owns token management and optimization, model usage, performance, retraining and MLOps.

Key Responsibilities

Solution Design and Development

Architect, design and build intelligent automation solutions that embed AI/ML capabilities using open-source models and MCP-based integrations.
Develop MCP servers and clients that securely connect models to enterprise tools, data sources and workflows.
Build repeatable, reusable intelligent solutions and bots for document processing (classification, extraction, summarization, validation) and data cleansing (deduplication, normalization, enrichment, anomaly detection).
Design agentic and human-in-the-loop workflows that support augmented decision making.
Create reusable components, templates and patterns that accelerate delivery across the organization.

Operations, Maintenance and Support

Maintain and optimize deployed AI/ML solutions for reliability, accuracy and operational efficiency.
Troubleshoot and resolve post-implementation issues, including model drift, integration failures, data quality problems and performance degradation.
Monitor production solutions, define SLAs/SLOs, and perform root-cause analysis and corrective action.
Maintain documentation, runbooks and knowledge base articles for supported solutions.

MLOps and Model Lifecycle Management

Implement and manage MLOps pipelines covering versioning, CI/CD, automated testing, deployment, monitoring and rollback.
Own model retraining strategy, including drift detection, data and label management, evaluation benchmarks and scheduled or triggered retraining.
Track experiments, datasets and model artifacts using tools such as MLflow, DVC or equivalent.
Evaluate, fine-tune and select open-source models, balancing accuracy, latency, cost and licensing.
Establish model governance, including auditability, reproducibility, bias and safety checks, and responsible AI practices.

Token Management, Optimization and Performance

Implement token management and usage controls, including budgets, quotas, rate limiting, caching and cost attribution by team or use case.
Optimize prompts, context windows, retrieval strategies and model routing to reduce token consumption and cost without sacrificing quality.
Monitor and tune model usage and performance: latency, throughput, GPU/CPU utilization, quantization, batching and inference serving.
Produce dashboards and reports on usage, cost, quality and ROI.

Innovation and Continuous Improvement

Explore and prototype new options for embedding AI/ML into automations to enable continuous improvement and learning.
Evaluate emerging open-source models, frameworks, MCP capabilities and automation platforms, and recommend adoption where valuable.
Partner with business stakeholders to identify automation opportunities, define success metrics and measure outcomes.

Security, Compliance and Collaboration

Apply security best practices for data privacy, access control, secrets management and prompt-injection and data-leakage mitigation.
Ensure solutions comply with organizational policies and relevant regulations.
Collaborate with data engineers, software engineers, security teams, business analysts and process owners.
Mentor team members and share best practices.

Required Qualifications

Bachelor's degree in Computer Science, Data Science, Engineering or a related field (or equivalent experience).
Experience in AI/ML engineering, intelligent automation or software engineering, with production deployments.
Strong Python skills and experience with ML/LLM frameworks such as PyTorch, Hugging Face Transformers, LangChain/LlamaIndex or similar.
Hands-on experience with open-source LLMs, including deployment and inference serving and fine-tuning techniques.
Practical experience with the Model Context Protocol (MCP) or comparable tool-integration and agent frameworks.
Experience building document processing solutions (OCR, NLP, information extraction) and data cleansing pipelines.
Working knowledge of MLOps practices and tools (CI/CD, containerization with Docker/Kubernetes, model registries, monitoring).
Experience with token usage tracking, cost optimization and performance tuning of LLM applications.
Familiarity with RAG architectures, vector databases and embeddings.
Strong troubleshooting, analytical and communication skills.

Preferred Qualifications

Experience with RPA or workflow platforms (e.g., UiPath, Automation Anywhere, Power Automate, n8n, Camunda).
Cloud experience (AWS, Azure or GCP), including GPU workloads and managed ML services.
Experience with orchestration tools (Airflow, Prefect, Kubeflow) and observability tools (Prometheus, Grafana, OpenTelemetry, LLM tracing tools).
Knowledge of model evaluation frameworks, guardrails and responsible AI.
Relevant certifications in cloud, ML or automation platforms.
Experience working in an Agile/DevOps environment.
Medical
Dental
Vision
Basic Life
Health Saving Account
401K Matching
Three weeks of PTO/Sick
11 Paid Holidays
Pre-Approved Online Training

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More about this job

Skills

ML
Troubleshooting
Artificial intelligence
Machine learning
Process improvement
Decision making
Troubleshoot
Root cause analysis
Documentation
CI/CD
Test automation
Mlflow
Regulatory compliance
Collaboration
Computer science
Python
PyTorch
Hugging Face
LangChain
Tuning techniques
OCR
Natural language processing
Information extraction
Docker
Kubernetes
Communication skills
Workflow
Microsoft Power Automate
AWS
Microsoft Azure
Google Cloud
Apache Airflow
Kubeflow
Prometheus
Grafana
Agile
DevOps

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