Need AI ML Architect (Fulltime) - Direct Client

Dice is the leading career destination for tech experts at every stage of their careers. Our client, SRS Consulting Inc, is seeking the following. Apply via Dice today!Role: AI/ML Architect Location: Fremont, CA Duration: FulltimeKey ResponsibilitiesSystem Design: Design end-to-end AI/ML architectures, including data ingestion, feature stores, model training pipelines, and real-time inference services.Infrastructure & MLOps: Establish robust MLOps practices (CI/CD for ML) to automate the deployment, monitoring, and retraining of models.Integration Specialist: Work closely with the Salesforce and Digital Engineering teams to embed AI capabilities (like Agentforce or custom LLMs) into existing business workflows.Technical Governance: Evaluate and select third-party AI tools, frameworks, and cloud services (AWS, Azure, Google Cloud Platform) to ensure a future-proof tech stack.Performance Optimization: Conduct architectural reviews to optimize model latency, throughput, and cloud infrastructure costs.Technical RequirementsEngineering Excellence: 7+ years of experience in software engineering and data architecture, with at least 3 years focused specifically on ML systems.Cloud Architecture: Deep expertise in architecting on AWS (SageMaker), Azure (Azure ML), or Databricks.Generative AI Stack: Proficiency in designing RAG (Retrieval-Augmented Generation) architectures, vector database selection (Pinecone, Weaviate, Milvus), and LLM orchestration (LangChain, LlamaIndex).Data Mastery: Strong experience with Spark, Flink, or Snowflake for large-scale data processing.Security & Compliance: Knowledge of designing systems that adhere to SOC2, GDPR, or HIPAA, especially regarding data residency and model privacy.Soft SkillsProblem Solver: The ability to take a vague business problem and decompose it into a technical blueprint.Mentor: A passion for conducting code reviews and guiding ML Engineers on best practices in system design.