Senior Cloud, Data & AI Engineer
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Job Description
Senior Cloud, Data & AI Engineer leading secure AWS, Celonis, and agentic AI solutions. Delivering reusable cloud products for federal agencies and financial-control modernization.
Responsibilities:
- Lead the architecture, development, and delivery of cloud, data, process intelligence, and AI solutions
- Architect, implement, and operate cloud-native services on AWS, including API Gateway, Lambda, Fargate, DynamoDB, SQS, S3, KMS, IAM, and CloudWatch
- Build data ingestion, transformation, and API components for large-scale, multi-source data platforms
- Develop and extend Celonis solutions, including Data Connections, Data Integration transformations, object-centric data models, event logs, Knowledge Models, PQL metrics, Studio Views, and Action Flows
- Design and build agentic AI workflows using Amazon Bedrock, Azure OpenAI, and Celonis AI capabilities
- Own system architecture and technical direction for Innovation Lab products
- Lead end-to-end technical delivery of the A-123 Continuous Controls Monitoring solution and additional Innovation Lab products from prototype through production deployment
- Package solutions for reuse across federal agencies through parameterized configuration, automated deployment, versioning, and reference architectures
- Support capability demonstrations and post-award implementation activities, including source system mapping, environment configuration, and deployment into agency and FedRAMP-authorized cloud environments
- Collaborate with Celonis and AWS partner engineering teams on solution certification, marketplace listings, and partner program requirements
- Establish scalable engineering practices that improve reliability, data accuracy, deployment efficiency, and rapid deployment for new agency environments
- Reduce manual control testing, audit, and review hours and increase adoption of Innovation Lab solutions across client engagements, demonstrations, and proposals
Requirements:
- Bachelor’s degree in Computer Science, Engineering, Information Technology, Business, or a related field
- 7+ years of professional software or data platform engineering experience, with a proven track record of building and operating production systems at scale
- 5+ years of experience with Python and SQL
- Deep hands-on AWS experience across serverless compute, managed data stores, messaging, IAM, encryption, and infrastructure as code using Terraform, CDK, or CloudFormation
- 5+ years of experience with cloud-native data and AI solutions
- Hands-on Celonis experience with process mining, data models, Knowledge Models, and PQL
- Experience building or integrating LLM-based or agentic systems
- Must be currently authorized to work in the United States on a full-time basis
- Ability to obtain a Public Trust Clearance
- Prior engineering experience with Celonis, AWS, or a Celonis implementation partner
- AWS Certified Solutions Architect and/or Celonis certifications such as Data Engineer, Process Intelligence Developer, or Automation
- Experience with AWS GovCloud, FedRAMP, NIST 800-53, and Authority to Operate processes
- Experience with object-centric process mining, Celonis ML Workbench, Blueprint API, and Marketplace packaging
- Federal financial management domain knowledge, including OMB Circular A-123, internal controls, PIIA, improper payments, grants management, or financial close and reporting
- Experience with Azure data and AI services, OneStream, Workiva, or Power BI
- Experience with Agile delivery methodologies, including Scrum or Kanban
- Strong communication skills with executive and technical audiences
Benefits:
- 100% remote work
- Reasonable accommodations may be provided for individuals to perform essential job functions
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