AI/ML Solution Architect
Posted Today by Infosat IT Services LLC
Negotiable
Undetermined
Remote
Remote
Summary: We are looking for an experienced AI/ML Solution Architect to lead the design and implementation of enterprise-scale AI solutions. The role requires deep expertise in AI architecture, including Large Language Models and MLOps, and involves collaboration with various stakeholders to define AI strategies and establish technical standards. The ideal candidate will also mentor engineering teams and ensure the delivery of scalable and secure AI platforms.
Key Responsibilities:
- Define enterprise AI/ML architecture and technology roadmap.
- Design scalable Generative AI, Agentic AI, and LLM-based solutions.
- Architect Retrieval-Augmented Generation (RAG) platforms using enterprise knowledge sources.
- Lead architecture reviews and establish AI engineering best practices.
- Design AI platforms supporting model training, deployment, governance, monitoring, and lifecycle management.
- Build secure, compliant, and scalable AI ecosystems in cloud environments.
- Architect vector search and semantic retrieval solutions.
- Design multi-agent AI workflows and orchestration frameworks.
- Lead cloud-native AI platform implementation using AWS, Azure, or Google Cloud Platform.
- Establish MLOps, LLMOps, and Responsible AI governance frameworks.
- Collaborate with executive stakeholders to align AI initiatives with business goals.
- Mentor AI engineers, ML engineers, and data scientists.
Key Skills:
- Enterprise AI Architecture
- Machine Learning Architecture
- Generative AI Architecture
- Large Language Models (LLMs)
- Agentic AI
- Multi-Agent Systems
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
- Model Fine-Tuning
- LLMOps
- MLOps
- AI Governance
- Responsible AI
- Python
- LangChain
- LangGraph
- LlamaIndex
- OpenAI
- Anthropic Claude
- Gemini
- Llama
- Mistral
- Vector Databases
- Pinecone
- Weaviate
- ChromaDB
- FAISS
- Milvus
- AWS / Azure / Google Cloud Platform
- Kubernetes
- Docker
- Terraform
- Databricks
- Apache Spark
- Kafka
- Airflow
- REST APIs
- Microservices Architecture
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
AI/ML Solution Architect
Client: Confidential
Location: Remote (USA)
Duration: Long Term Contract
Employment Type: Contract / C2C / W2
Interview Mode: Video Interview
Job Title:
AI/ML Solution Architect
Job Summary:
We are seeking an experienced AI/ML Solution Architect to lead the design, architecture, and implementation of enterprise-scale Artificial Intelligence, Machine Learning, and Generative AI solutions. The ideal candidate will have deep expertise in AI architecture, Large Language Models (LLMs), Agentic AI, MLOps, cloud-native platforms, and enterprise data ecosystems.
The Architect will partner with business leaders, product teams, data scientists, and engineering teams to define AI strategy, establish technical standards, and deliver scalable, secure, and production-ready AI platforms.
Key Responsibilities:
- Define enterprise AI/ML architecture and technology roadmap.
- Design scalable Generative AI, Agentic AI, and LLM-based solutions.
- Architect Retrieval-Augmented Generation (RAG) platforms using enterprise knowledge sources.
- Lead architecture reviews and establish AI engineering best practices.
- Design AI platforms supporting model training, deployment, governance, monitoring, and lifecycle management.
- Build secure, compliant, and scalable AI ecosystems in cloud environments.
- Architect vector search and semantic retrieval solutions.
- Design multi-agent AI workflows and orchestration frameworks.
- Lead cloud-native AI platform implementation using AWS, Azure, or Google Cloud Platform.
- Establish MLOps, LLMOps, and Responsible AI governance frameworks.
- Collaborate with executive stakeholders to align AI initiatives with business goals.
- Mentor AI engineers, ML engineers, and data scientists.
Required Skills:
- Enterprise AI Architecture
- Machine Learning Architecture
- Generative AI Architecture
- Large Language Models (LLMs)
- Agentic AI
- Multi-Agent Systems
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
- Model Fine-Tuning
- LLMOps
- MLOps
- AI Governance
- Responsible AI
- Python
- LangChain
- LangGraph
- LlamaIndex
- OpenAI
- Anthropic Claude
- Gemini
- Llama
- Mistral
- Vector Databases
- Pinecone
- Weaviate
- ChromaDB
- FAISS
- Milvus
- AWS / Azure / Google Cloud Platform
- Kubernetes
- Docker
- Terraform
- Databricks
- Apache Spark
- Kafka
- Airflow
- REST APIs
- Microservices Architecture
Experience Required:
- 15+ years of IT experience.
- 7+ years in AI/ML architecture and solution design.
- 3+ years of Generative AI / LLM architecture experience.
- Experience leading enterprise-scale AI transformation initiatives.
- Strong cloud architecture experience.
Preferred Qualifications:
- Experience building enterprise AI platforms.
- AI Governance and Responsible AI implementation experience.
- Industry experience in Financial Services, Healthcare, Aviation, Retail, Telecom, or Enterprise SaaS.
- Cloud Architect Certifications.
- Experience presenting architecture solutions to executive leadership.