Senior AI/ML Architect – Agentic AI & Knowledge Graph Solutions (AWS Bedrock)
Lead the design and implementation of enterprise-grade AI solutions with a focus on Agentic AI, AWS Bedrock, and ontology-based knowledge graphs. Architect scalable cloud-native AI platforms, RAG systems, and autonomous AI agents while leveraging semantic models and generative AI integrations. Requires 10+ years of AI/ML architecture experience with deep expertise in AWS and knowledge representation.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from ideas to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.
We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!
Title: Senior AI/ML Architect – Agentic AI, AWS Bedrock & Ontology Consultant
Location: 100% Remote (U.S. Preferred)
Job Type: Contract
Duration: 6–12+ Months (Extension Possible)
Rate: $ 90 -120/hr
We are seeking a highly experienced Senior AI/ML Architect with deep expertise in Agentic AI, AWS Bedrock, and knowledge graph/ontology design to lead the architecture and implementation of enterprise-grade AI solutions. The ideal candidate will have experience designing autonomous AI agents, Retrieval-Augmented Generation (RAG) systems, semantic knowledge models, and scalable cloud-native AI platforms on AWS.
Required Skills
AI & Machine Learning
- 10+ years of software engineering, data engineering, or AI architecture experience.
- 5+ years designing enterprise AI/ML solutions.
- Strong experience building Agentic AI applications.
- Experience with autonomous agents, AI planning, reasoning, memory, and tool calling.
- Expertise in LLMs, prompt engineering, embeddings, and RAG architectures.
AWS
- Strong hands-on experience with:
- AWS Bedrock
- Amazon SageMaker
- Lambda
- ECS/EKS
- API Gateway
- Step Functions
- S3
- IAM
- CloudWatch
- EventBridge
- DynamoDB
- OpenSearch
- Experience deploying scalable AI workloads in AWS.
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Ontology & Knowledge Graphs
- Strong understanding of:
- Ontology modeling
- Semantic knowledge representation
- Knowledge graphs
- RDF
- OWL
- SPARQL
- Taxonomy design
- Metadata management
- Experience integrating ontologies with Generative AI systems.
AI Frameworks
Experience with one or more:
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Programming
- Python (Expert)
- SQL
- REST APIs
- FastAPI
- Git
- Docker
- Kubernetes
- Terraform (preferred)
MatchPoint Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state 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.
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