Strategy & Execution
Senior AI/ML Architect
Location
United States
Posted
4 days ago
Salary
0
Seniority
Senior
Job Description
Senior AI/ML Architect
Data Ideology, LLC
• Lead SLM candidate evaluation and selection: assess Small Language Model options for edge deployment against hardware constraints, inference latency requirements, domain restriction feasibility, and licensing. • Produce a technology assessment with explicit trade-off rationale and a recommended approach. • Design the domain restriction and guardrails architecture: define how the SLM is constrained to a known operational scope, how out-of-domain responses are prevented, and how the system enforces retrieval-first, non-authoritative behavior appropriate for a safety-adjacent environment. • Design the capability framework that structures how the system responds to operator queries — how capabilities are scoped and isolated, how the framework supports incremental addition of new interaction types over time, and what the prototype will implement. • Design the retrieval-augmented inference pipeline: define how the SLM retrieves context from a local knowledge store at inference time, including retrieval strategy, context injection approach, and latency budget appropriate for the edge environment. • Evaluate candidate cloud services for knowledge retrieval, model governance, and fleet-level model lifecycle management including over-the-air model distribution to edge devices. • Produce architecture recommendations aligned to client enterprise standards; all service selections are subject to client review and approval. • Define the offboard ML lifecycle: how models are evaluated, adapted through prompting and retrieval augmentation, versioned, governed, and distributed at scale. • Fine-tuning or custom model training is not a default commitment in this phase — adaptation approach will be determined based on discovery findings. • Collaborate with the Edge ML / Embedded Engineer on hardware constraint inputs that shape SLM selection and inference pipeline design, ensuring architecture recommendations are grounded in confirmed runtime feasibility. • Collaborate with the AWS Solutions Architect on candidate cloud service architecture for model governance, knowledge retrieval, and the model update pipeline, ensuring the cloud-side AI architecture aligns with the broader platform. • Document safety design principles and operational boundaries — authority separation, bounded AI behavior, explainability approach, and human-in-the-loop considerations — as architecture artifacts for client engineering and compliance review. • Produce all architecture recommendations as Architecture Decision Records (ADRs) with explicit trade-off rationale. • Clearly distinguish confirmed decisions from those that remain conditional on hardware specifications or interface access not yet confirmed.
Job Requirements
- Bachelor’s degree in Computer Science, Engineering, or equivalent professional experience;
- AWS certifications (Solutions Architect Pro or Security Specialty) are highly preferred.
- 7+ years of experience in Cloud Infrastructure or Platform Engineering, with a proven track record of leading multi-tenant AWS data platforms and event-driven architectures.
- Expert-level hands-on proficiency with AWS core services (S3, Glue, Redshift, Lake Formation, IoT Core, KMS) and authoring complex Terraform modules with remote state management.
- Deep experience building and maintaining CI/CD pipelines for infrastructure, including environment promotion (Dev/Stage/Prod), drift detection, and automated validation.
- Solid networking fundamentals, including VPC design, PrivateLink, and identity federation patterns (SAML/OAuth2/mTLS).
- Demonstrated ability to design airtight data isolation at scale (ABAC/RBAC) and produce builder-ready technical standards such as Architecture Decision Records (ADRs).
- Strong financial acumen with the ability to track AWS spend against cost models and drive optimization through resource tagging and architectural efficiency.
Benefits
- Remote work from home.
- Specific business hours will depend on client needs.
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