Production AI on AWS, delivered by an Advanced Tier Partner with deep expertise across Bedrock, SageMaker, and the full AWS AI stack
Why AWS AI Consulting Matters
AWS offers the most comprehensive AI and machine learning platform available. But breadth creates complexity. Choosing between Bedrock and SageMaker, designing cost-effective inference pipelines, and building governance around foundation models requires hands-on expertise that most organizations do not have in-house.
Tactical Edge provides AWS AI consulting that turns the AWS AI stack into production systems. As an AWS Advanced Tier Partner with a Strategic Collaboration Agreement, we bring validated architectures, direct access to AWS engineering teams, and eligibility for MAP funding to every engagement.
Our AWS AI consulting is not about migration or generic cloud setup. It is specifically focused on building, deploying, and operating AI systems on AWS that are secure, governed, and built to scale.
AWS AI Consulting Services
Amazon Bedrock Implementation
Amazon Bedrock gives you access to foundation models from Anthropic, Meta, Mistral, and Amazon without managing infrastructure. Our AWS AI consulting helps you select the right model, build retrieval-augmented generation (RAG) pipelines, and deploy Bedrock Agents that can take autonomous action within defined boundaries.
- Foundation model selection and evaluation for your use case
- Knowledge base configuration with Amazon OpenSearch and S3
- Bedrock Agents with tool use and action groups
- Guardrails configuration for content filtering and PII protection
- Cost optimization through model routing and caching
SageMaker ML Operations
When off-the-shelf models are not enough, Amazon SageMaker provides the infrastructure for custom model training, fine-tuning, and deployment. Our AWS AI consulting covers the full SageMaker lifecycle from data preparation through production inference.
- Custom model training with SageMaker Training Jobs
- Model fine-tuning for domain-specific performance
- SageMaker Pipelines for automated ML workflows
- Real-time and batch inference endpoint management
- Model monitoring, drift detection, and retraining automation
AWS AI Architecture Design
AI systems on AWS involve more than just the model layer. Our AWS AI consulting designs the full architecture - data ingestion, feature engineering, model serving, agent orchestration, and observability - using AWS-native services that work together reliably.
- Event-driven architectures with Lambda and Step Functions
- Data lake and feature store design with S3, Glue, and Athena
- Vector database integration for semantic search and RAG
- API Gateway and AppSync for AI-powered application layers
- Multi-region and high-availability configurations
Data Pipelines for AI on AWS
AI systems are only as good as the data that feeds them. Our AWS AI consulting builds the data infrastructure that makes AI possible - from raw ingestion through transformation, quality validation, and delivery to model training and inference.
- Data ingestion with Kinesis, MSK, and EventBridge
- ETL and transformation with AWS Glue and Step Functions
- Data quality validation and lineage tracking
- Amazon Kendra for enterprise document understanding
- Real-time feature computation for ML inference
Security, Compliance & AI Governance on AWS
Production AI on AWS requires security and compliance that goes beyond standard cloud hardening. Our AWS AI consulting addresses the unique governance challenges of AI systems - model access controls, data privacy in training pipelines, audit trails for autonomous decisions, and regulatory compliance.
- IAM policies for model and data access control
- VPC isolation and PrivateLink for AI endpoints
- CloudTrail and CloudWatch for AI system observability
- Bedrock Guardrails for content safety and PII handling
- Compliance mapping for HIPAA, SOC 2, FedRAMP, and industry standards
AWS MAP Funding & Migration
The AWS Migration Acceleration Program (MAP) provides funding to offset the cost of AI and cloud modernization projects. As an AWS Advanced Tier Partner with an SCA, Tactical Edge helps qualified organizations access MAP funding to accelerate their AI initiatives.
- MAP eligibility assessment and business case development
- Workload migration planning for AI-ready infrastructure
- Legacy system modernization with AI capabilities
- Cost modeling and ROI projections for AWS AI adoption
- Ongoing optimization to maximize AWS Savings Plans
Why Tactical Edge for AWS AI Consulting
Not every AWS partner has deep AI expertise. Not every AI consultancy has deep AWS expertise. Tactical Edge has both.
- AWS Advanced Tier Partner - validated expertise with a Strategic Collaboration Agreement
- MAP funding access - help you structure projects to qualify for AWS funding programs
- AI-native - our AWS AI consulting is focused on AI, not general cloud. We build agentic AI systems, generative AI pipelines, and ML operations
- Production track record - every engagement targets production deployment, not proof of concept
- Full lifecycle - from strategy through implementation to managed operations
Frequently Asked Questions
What is AWS AI consulting?
AWS AI consulting helps organizations design, build, and deploy AI and machine learning solutions on Amazon Web Services. This includes architecture design, Amazon Bedrock and SageMaker implementation, data pipeline engineering, and ongoing optimization. Tactical Edge provides AWS AI consulting as an AWS Advanced Tier Partner with validated expertise across the AWS AI stack.
Is Tactical Edge an official AWS AI partner?
Yes. Tactical Edge is an AWS Advanced Tier Services Partner with a Strategic Collaboration Agreement (SCA). This means validated expertise across AWS AI services, direct access to AWS solution architects, and eligibility for AWS Migration Acceleration Program (MAP) funding for qualified projects.
What AWS AI services does Tactical Edge implement?
Tactical Edge implements the full AWS AI stack including Amazon Bedrock for generative AI and foundation models, Amazon SageMaker for custom ML model training and deployment, AWS Lambda and Step Functions for agent orchestration, Amazon Kendra for enterprise search, Amazon S3 and Glue for data pipelines, and AWS security services for AI governance.
Can I get AWS funding for AI projects?
Yes. Through the AWS Migration Acceleration Program (MAP), qualified organizations can receive funding to offset the cost of AI implementation on AWS. As an AWS Advanced Tier Partner with an SCA, Tactical Edge can help you assess eligibility and structure projects to maximize MAP funding.
How is AWS AI consulting different from general cloud consulting?
AWS AI consulting requires specialized knowledge of machine learning infrastructure, foundation model deployment, vector databases, retrieval-augmented generation, and AI-specific governance. General cloud consulting covers compute, storage, and networking. AWS AI consulting covers these plus model training, inference optimization, prompt engineering, and responsible AI practices on AWS.
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