Technical Architect - AI job - GH21303
Role details
Job location
Tech stack
Requirements
Core AI Frameworks
- Expert proficiency with Lang Graph, LangChain, and agent orchestration frameworks
- Deep experience with Amazon Bedrock, SageMaker, and Amazon Q, including Bedrock Agents and Knowledge Bases
- Hands-on experience with Model Context Protocol (MCP), function calling, tool use, and structured output patterns
- Strong command of prompt engineering, evaluation harnesses, fine-tuning, and model optimization
- Working knowledge of transformer architectures, attention mechanisms, and multi-modal systems
Machine Learning
- Classical ML (regression, tree-based ensembles, gradient boosting, clustering) and deep learning (CNNs, RNNs, transformers) across supervised, unsupervised, and reinforcement paradigms; feature engineering, hyperparameter optimization, cross-validation, drift detection, and model evaluation
- End-to-end ML lifecycle on SageMaker spanning data preparation, training, deployment, monitoring, and retraining
AWS Platform
- SageMaker (Studio, Pipelines, Model Registry, Inference), Bedrock, EKS, Lambda, ECS Fargate, API Gateway, Step Functions
- S3, DynamoDB, Aurora, Redshift, Athena, OpenSearch, Kendra
- Event Bridge, SNS/SQS, Kinesis, MSK
- CloudWatch, X-Ray, CloudTrail, AWS Config, Guard Duty, Macie, Security Hub
- IAM, KMS, Private Link, VPC design, and AWS Organizations governance
Salesforce and Enterprise SaaS
- Salesforce Agent force, Einstein, Data Cloud, Service Cloud, and Sales Cloud integration patterns
- Apex, Flow, Platform Events, and REST/Bulk API integration with external AI services
- Familiarity with enterprise identity providers, SSO, OAuth, and SCIM provisioning across SaaS estates
Programming and Development
- Advanced Python with deep Fast API experience for scalable, async API development
- Java proficiency sufficient to integrate with existing enterprise backend services
- Strong CI/CD background using AWS Code Pipeline, Code Build, GitHub Actions, and Infrastructure as Code via Terraform and AWS CDK
- Containerization with Docker and orchestration with Kubernetes (EKS)
Data and Vector Systems
- Vector store architectures using OpenSearch, Bedrock Knowledge Bases, Pinecone, Weaviate, or Chroma
- Embedding model selection, hybrid search, and reranking strategies
- Graph database experience (Amazon Neptune, Neo4j) for knowledge representation
- Data ingestion, masking, synthetic data generation, and DLP validation pipelines
Ideal Years Of Experience
-
20+ years in software engineering with 5+ years focused on AI/ML systems
-
3+ years hands-on experience architecting and shipping production LLM and agentic AI applications
Benefits & conditions
Pay Range*: $70 - $75 per Hour
*Pay range offered to a successful candidate will be based on several factors, including the candidate's education, work experience, work location, specific job duties, certifications, etc.
Benefits: Innova Solutions offers benefits( based on eligibility) that include the following: Medical & pharmacy coverage, Dental/vision insurance, 401(k), Health saving account (HSA) and Flexible spending account (FSA), Life Insurance, Pet Insurance, Short term and Long term Disability, Accident & Critical illness coverage, Pre-paid legal & ID theft protection, Sick time, and other types of paid leaves (as required by law), Employee Assistance Program (EAP).