AI Data & Architect​/Engineer

Job Title: AI Data & Knowledge Architect / Engineer

Location: Chandler, AZ (Hybrid, 3 days onsite required). Local candidates only.

Duration: Contract – 12 months

Pay Range: $66.71/hr (W2)

Job : 411640

About BCforward

BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.

Job Description

We are seeking an experienced AI Data & Knowledge Architect / Engineer to develop, govern, and improve the data and knowledge foundations that support AI and agentic capabilities across Network Services. The ideal candidate will have strong experience in data modeling, data governance, and scalable context management for AI consumption, and a proven ability to translate domain knowledge into reusable, AI-ready assets.

Responsibilities:

• Develop and maintain data and knowledge assets for AI and agentic use cases across Network Services, covering structured and unstructured sources.

• Define and apply standards for organizing documentation, configurations, telemetry, metadata, policies, standards, and operational knowledge for AI consumption.

• Partner with product and service subject matter experts to capture network technologies, operational context, and domain knowledge to improve model grounding and decision quality.

• Design and implement scalable methods for storing, governing, indexing, and retrieving context assets for AI-enabled workflows.

• Establish and improve preventative and detective controls to reduce data, metadata, and knowledge quality issues and ensure freshness.

• Contribute to remediation by identifying upstream sources, defining corrective actions, and improving reliability at the source.

• Define and maintain expectations for ownership, lineage, freshness, stewardship, and governance across relevant domains.

• Build and enhance pipelines, transformations, validations, and services that improve quality and accessibility of data and knowledge assets.

• Create reusable templates, patterns, and guidance for knowledge artifacts, documentation standards, and context management.

• Align practices with enterprise controls and standards in partnership with engineering, architecture, operations, and governance teams.

• Monitor and communicate health, readiness, and quality of AI-relevant assets, including issues and remediation priorities.

• Continuously improve data and knowledge management to strengthen trust, reuse, traceability, and operational supportability.

• Document data definitions, controls, transformations, and usage considerations for reliable downstream consumption.

Required Skills &

Qualifications:

• Experience engineering and managing structured and unstructured data for analytics, automation, search, or AI-enabled solutions.

• Strong understanding of data modeling, transformation, storage, and retrieval patterns for scalable, governed pipelines.

• Ability to define and apply standards for preparing data, documents, knowledge artifacts, metadata, and operational context for AI consumption.

• Experience establishing data quality controls, validation checks, and monitoring to improve trust, completeness, and consistency.

• Knowledge of preventative and detective controls for data, metadata, and knowledge management issues.

• Experience with knowledge sources such as documentation, standards, policies, configurations, runbooks, telemetry, and operational records.

• Ability to translate network operational knowledge into usable data and knowledge assets with…