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We are seeking a hands-on Principal AWS Data Platform & MLOps Architect to design and build a shared data and AI platform supporting multiple products and projects.
Your mandate will be to establish a unified AWS-native platform, including shared data models, pipelines, services, and serving layers that can support document intelligence, semantic and multimodal search, RAG applications, data science projects, dashboards, and analytics. You will define the technical direction and build the platform capabilities through hands-on development and by guiding other Data Engineers.
International Consulting Associates, Inc. is a rapidly growing company, located in the D.C./Metro area. We were founded in 2009 to assist government clients with evaluating and achieving their objectives. We have become a trusted advisor helping our clients by offering cutting-edge innovation and solutions to complex projects. Our small company has grown significantly, and we're overjoyed at the opportunity to expand yet again!
We are results-focused and have a proven track record supporting federal agencies and large government services primes in three main areas: Research and Data Analysis, Advanced-Data Science, and Strategic Services. We currently support multiple analytics and research programs across HHS.
At ICA, we believe our success starts with our people. We foster a collaborative "one team" environment where work-life balance isn't just talked about – it's prioritized. We're building dynamic, highly skilled teams in a welcoming and supportive atmosphere. If you're passionate about using your technical expertise to make a difference, we want to talk to you.
We are looking for a Principal AWS Data Platform & ML Ops Architect to join our growing team!
We are seeking a hands-on Principal AWS Data Platform & MLOps Architect to design and build a shared data and AI platform supporting multiple products and projects.
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About ICA, Inc. ICA, Inc. is a rapidly growing company, located in the D.C./Metro area. We were founded in 2009 to assist government clients with evaluating and achieving their objectives. We have become a trusted adviso
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Your mandate will be to establish a unified AWS-native platform, including shared data models, pipelines, services, and serving layers that can support document intelligence, semantic and multimodal search, RAG applications, data science projects, dashboards, and analytics. You will define the technical direction and build the platform capabilities through hands-on development and by guiding other Data Engineers.
Define the target AWS architecture for shared data, document-processing, search, analytics, and AI capabilities.
Design the canonical data model, ingestion and processing pipelines, storage patterns, APIs, event contracts, and serving layers.
Build a reusable platform serving multiple products and projects with critical shared capabilities and establish repeatable implementation patterns for engineering teams.
Develop an incremental migration and adoption strategy for bringing existing solutions onto the shared platform.
Identify duplicated pipelines, services, infrastructure, and technical patterns across projects.
Determine which capabilities should become shared platform services and which should remain project-specific.
Design the AWS-based path from data science deliverables to production by establishing architecture for model packaging, deployment, serving, registry, monitoring, drift detection, and retraining workflows.
Define onboarding standards for new data products, models, search applications, and AI-enabled services.
Design platform capabilities supporting search indexes, embeddings, vector retrieval, RAG, and model evaluation.
Lead architecture and design reviews before significant development begins.
Establish reference architectures, approved patterns, architecture decision records, and engineering standards.
Require teams to use shared platform capabilities where appropriate and evaluate justified exceptions.
Ensure platform designs meet performance, scalability, reliability, security, auditability, disaster-recovery, and cost requirements.
Provide technical leadership and mentoring across data engineering, data science, software engineering, and platform teams.
Partner with product and engineering leaders on a cross-project platform roadmap.
All application materials must be your own original work, and interviews must be completed independently. Use of AI-generated content in applications or AI assistance during interviews will result in disqualification.
ICA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, genetics, disability status, protected veteran status, age, or any other characteristic protected by state, federal or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Verified company details for this employer are not available yet.
USD 170000-174000 yearly / year
Full-time
Senior
Remote
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