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Senior AI/ML Architect

May 30, 2026

Data IdeologyAt DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals passionate about learning, understanding, collaborating, and intellectually curious. For more information about Data Ideology, visit <a href="http://www.dataideology.com/">www.dataideology.com</a> Senior AI/ML Architect - (Contract 1099)We are seeking a senior AI/ML Architect to join our team on a contract engagement designing the intelligence layer of an edge AI assistant system. This is a discovery, architecture, and feasibility engagement — the primary outputs are a validated AI architecture, technology assessments, and a constrained proof-of-concept demonstrator. You are not training or deploying production models in this engagement. The right candidate thinks clearly about the architecture of safe, bounded AI systems; has strong opinions about when retrieval is better than inference; and produces crisp written architecture documents that engineers can actually build from. For more information about Data Ideology, visit www.dataideology.com Key Responsibilities <ul><li>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. </li></ul><ul><li>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. </li></ul><ul><li>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. </li></ul><ul><li>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. </li></ul><ul><li>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. </li></ul><ul><li>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. </li></ul><ul><li>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. </li></ul><ul><li>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. </li></ul><ul><li>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. Formal safety certification is not in scope for this engagement. </li></ul><ul><li>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. </li></ul>Supervisory Responsibilities: NoneQualificationsEducation and Experience:<ul><li class="MsoNoSpacing" style="margin-left:8px;">Bachelor’s degree in Computer Science, Engineering, or equivalent professional experience; AWS certifications (Solutions Architect Pro or Security Specialty) are highly preferred.</li><li class="MsoNoSpacing" style="margin-left:8px;">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.</li><li class="MsoNoSpacing" style="margin-left:8px;">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.</li><li class="MsoNoSpacing" style="margin-left:8px;">Deep experience building and maintaining CI/CD pipelines for infrastructure, including environment promotion (Dev/Stage/Prod), drift detection, and automated validation.</li><li class="MsoNoSpacing" style="margin-left:8px;">Solid networking fundamentals, including VPC design, PrivateLink, and identity federation patterns (SAML/OAuth2/mTLS).</li><li class="MsoNoSpacing" style="margin-left:8px;">Demonstrated ability to design airtight data isolation at scale (ABAC/RBAC) and produce builder-ready technical standards such as Architecture Decision Records (ADRs).</li><li class="MsoNoSpacing" style="margin-left:8px;">Strong financial acumen with the ability to track AWS spend against cost models and drive optimization through resource tagging and architectural efficiency.</li></ul>Work Environment: <ul><li>Remote work from home. </li><li>Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs. </li></ul>Physical Demands: <ul><li>Must be able to remain in a stationary position 50% of the time. </li><li>The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc. </li><li>Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer. </li><li>The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations. </li></ul>Data Ideology is an EEO Employer

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...