Vertical Relevance

DevOps Engineer

• Help customers shape their journey to adopting the cloud and provide our customers with technical and strategic guidance on their “cloud journey”
• Consult, plan, design, and implement security solutions on the cloud customers
• Design and automate security and compliance solutions
• Develop high-quality technical content such as automation tools, reference architectures, and white papers

Senior DevSecOps Cloud Consultant

Machine Learning Engineer

• Deliver end-to-end ML/AI solutions from problem framing through deployment and monitoring
• Design scalable AI/ML architectures using AWS and GCP services
• Optimize RAG pipelines including chunking, embeddings, hybrid search, and re-ranking
• Develop retrieval evaluation frameworks (Recall@K, Precision@K, MRR, nDCG)
• Design and implement knowledge graphs and ontologies
• Build data ingestion pipelines for structured and unstructured data
• Deploy solutions using AWS tools such as SageMaker, Bedrock, Lambda, and OpenSearch
• Implement self-hosted embedding models in secure environments
• Ensure compliance with PHI/PII data security requirements
• Collaborate with cross-functional teams and act as a technical advisor
• Mentor team members and contribute to technical thought leadership

AI / Machine Learning Consultant

Artificial Intelligence

• Enable customers to solve complex data science problems, including problem framing, data preparation, scripting, model building, deployment, and monitoring.
• Design and implement ML/AI solutions using AWS and GCP ADK ML Services.
• Deliver ML projects end-to-end: understand business needs, aggregate and explore data, build and validate predictive models, deploy models with drift monitoring and retraining.
• Utilize AWS and GCP ADK AI services, ML platforms, and frameworks to build scalable ML models.
• Collaborate with consultants in Big Data, IoT, Chatbot's, and HPC to prepare and label data, and with engineers to operationalize models.
• Serve as a trusted technical advisor for clients.
• Develop high-quality technical content (automation tools, reference architectures, white papers).
• Innovate on behalf of customers and translate ideas into measurable results.
• Provide feedback to influence technology roadmaps and expand capabilities.
• Assist with technical briefs and reference architecture implementations.
• Contribute to thought leadership through blogs and case studies.

AI Agentic, ML Cloud Consultant

Data Engineer

• Help customers shape their journey to adopting the cloud and provide customers with technical and strategic guidance on their 'cloud journey'.
• Consult, plan, design, and implement Data solutions on the cloud for customers.
• Design AWS Data Lake implementations.
• Assist customers with implementing Amazon Virtual Private Cloud (Amazon VPC), account, Amazon Simple Storage Service (Amazon S3) bucket strategy and capture impact for introducing critical data for a data lake.
• Assist customers with achieving modern big data lambda architecture, providing an environment for consumption and utilization of data coming from either batch or streaming sources.
• Develop high-quality technical content such as automation tools, reference architecture, and white papers to help customers build on the cloud.
• Support solution development by conveying customer needs and feedback as input to technology roadmaps.
• Assist with technical briefs that document solutions.
• Assist with reference architecture implementations.

Senior DevSecOps Cloud Consultant

AI / Machine Learning Consultant

AI Agentic, ML Cloud Consultant

Senior AWS Cloud Data Architect