Architect & Technical Portfolio Owner, Senior Principal

Location:Rockville MD

Work Type: Hybrid Work (Minimum 2 days Onsite - Could extend to more days because of Client meetings and Proposals)

Required Clearance:Ability to Obtain Public Trust

Job Title:Architect & Technical Portfolio Owner Senior Principal

Job Overview:LCG Inc. is seeking aArchitect & Technical Portfolio Owner Senior Principalto lead the strategy architecture and delivery of AI/ML capabilities across a portfolio of federal IT programs. You will shape an enterprise-grade secure and explainable AI ecosystemspanning data pipelines MLOps model governance and mission applicationswhile partnering in a joint leadership model with the Director Portfolio Management & IT Programs. This is a hands-on role for an applied AI leader who can design end-to-end solutions produce rapid POCs and mentor teamsbridging business outcomes with modern AI/ML practices.

Key Responsibilities

Portfolio-Focused AI/ML Leadership

• Serve as the technical authorityfor all AI/ML solutions within your assigned portfolio spanning data analytics automation and intelligent systems.
• Lead the definition of AI/ML roadmaps technical standards and platform choices aligned with mission priorities.
• Architect secure and explainable AI systems ensuring compliance with FISMA FedRAMP and emerging AI governance regulations.
• Guide modernization efforts that integrate data platforms model pipelines and analytics environmentsinto cloud-native architectures.

Innovation and Strategic Advisory

• Design prototype and validate AI/ML architecturesthat integrate with enterprise systems including data lakes microservices and API-driven applications.
• Lead the creation of proof-of-concepts (POCs)and pilotsto demonstrate real-world application of AI/ML to business challenges.
• Collaborate with data engineers scientists and developers to deploy models through CI/CD-enabled MLOps pipelines(MLflow Kubeflow Jenkins etc.).
• Ensure solutions are observable measurable and maintainable including automated retraining and explainability tools.
• Troubleshoot production AI systems ensuring uptime performance and responsible operation.

Cross-Enterprise Collaboration and Knowledge Sharing

• Partner with other portfolio architects to build enterprise-wide AI frameworks and reusable design patterns.
• Conduct cross-portfolio architecture review boardsto assess solution scalability security and ethical AI adherence.
• Contribute toLCGs AI initiatives curating internal playbooks templates and data model catalogs.
• Share lessons learned and promote standardization across LCGs AI/ML ecosystem.

Capture Proposal and Client Engagement

• Lead AI/ML solution development in support of RFI/RFP capture including architecture diagrams white papers and technical volumes.
• Participate in client orals representing LCGs AI/ML strategy as a thought leader.
• Develop cost and resource estimates for AI/ML components in new bids or recompetes.
• During project transitions ensure knowledge transfer continuity and system handoverof AI/ML assets.

Mentorship Enablement and Workplace Development

• Mentor teams of engineers data scientists and analysts in best practices for ML engineering MLOps and ethical AI.
• Create learning roadmaps and training sessionsfor internal upskilling in data science and AI tooling.
• Foster a culture of experimentation continuous learning and responsible innovation.

Governance Compliance and Documentation

• Implement governance practices for model explainability bias detection and performance auditing.
• Ensure documentation covers data flows architectural decisions and compliance evidence (e.g. AI risk assessments).
• Partner with cybersecurity and compliance teams to ensure all AI systems align with federal data protection and transparency mandates.

Qualifications

• Bachelors degree in Computer Science Data Science Engineering or related field.
• 12 years in IT with at least 7 years in AI/ML architecture data science or applied ML leadership roles.
• Proven track record designing deploying and scalingAI/ML systems in regulated or federal environments.
• Deep understanding of:
  • AI/ML frameworks: TensorFlow PyTorch Scikit-learn Hugging Face LangChain MLflow Kubeflow Airflow DVC. Azure ML Microsoft Agentic Framework CoPilot Enterprise Open AI for public sector etc. Experience with emerging AI orchestration frameworks such as Semantic Kernel Agno AutoGen LangChain and LlamaIndex for building intelligent multi-agent and retrieval-augmented systems.
  • Generative AI Ecosystems: Hands-on experience with Azure OpenAI Service AWS Bedrock or Google Cloud Vertex AI including prompt engineering fine-tuning RAG (Retrieval-Augmented Generation) implementations vector database integration and deployment of custom LLM applications.
  • Additional Expertise: Knowledge of responsible AI principles and leveraging GenAI APIs to automate workflows enhance productivity and enable conversational or document intelligence solutions.
  • Cloud ML services: Azure ML AWS SageMaker GCP Vertex AI
  • Data & MLOps tools: Data Analytics Platform like Microsoft Fabric Amazon RedShift Google BigQuery for AI/ML data transformation implementation.
  • Experience designing and implementing GenAI based applications using Agentic design MCP Servers etc.
  • Good knowledge and AI implementation exposure of using Vector Databases like PostSQL Aurora Cosmos DB Dynamo DB etc.
• Strong foundation indata governance security and compliance.
• Excellent communication and stakeholder engagement skills.

Preferred:

• Masters or PhD in AI Machine Learning Data Science or related discipline.
• Experience in federal contracting(HHS NIH DOD etc.).
• Knowledge of Generative AI RAG architectures and agentic frameworks.
• Certifications (e.g.Azure AI Engineer AWS ML Specialty TOGAF).
• Experience building reusable AI/ML accelerators reference architectures and proposal solutions.

Compensation and Benefits

The projected compensation range for this position is $190000 to $240000 per year benchmarked in the Washington D.C. metropolitan area. Salary at LCG is determined by various factors including but not limited to role location the combination of education/training knowledge skills competencies certifications and work experience.

LCG offers a competitive comprehensive benefits package which includes health insurance options (medical dental vision) life and disability insurance retirement plan contributions as well as paid leave federal holidays professional development and lifestyle benefits.

Devoted to Fair and Inclusive Practices

All qualified applicants will receive consideration for employment without regard to sex race ethnicity age national origin citizenship religion physical or mental disability medical condition genetic information pregnancy family structure marital status ancestry domestic partner status sexual orientation gender identity or expression veteran or military status or any other basis prohibited by law.

If you are interested in applying for employment with LCG and need special assistance or an accommodation to apply for a posted position contact our Human Resources department by email at.

Securing Your Data

Beware of fraudulent job offers using LCGs name. LCG will never request payment-related details or advancement of money during the application process. Legitimate communication will only come from oremails not free commercial services like Gmail or WhatsApp. If you receive suspicious emails asking for payment or personal information contact us immediately at.

If you believe you are the victim of a scam contact your local law enforcement and report the incident to theU.S. Federal Trade Commission.