Embedded principal AI architect

Senior AI architecture leadership across the portfolio—without waiting for a permanent hire.

Work directly with a principal architect who can connect business priorities, agent and model architecture, data, cloud, security, cost, and engineering execution into decisions your teams can implement.

When teams are moving, but architecture authority is fragmented.

This engagement is fractional or interim in commercial structure. It is not positioned as inexpensive part-time staffing.

01

Engineers and vendors are active, but architectural decisions remain fragmented.

02

Several AI initiatives need one target architecture and review authority.

03

A CTO or Head of AI needs senior depth for a transition period.

04

The company needs an independent view of model-provider, cloud, framework, and platform choices.

05

The internal team needs coaching and architecture transfer rather than outsourced dependency.

Start with a diagnostic. Earn the embedded mandate.

The architecture role has explicit authority, outputs, cadence, boundaries, and a transition plan. Hours and retainer pricing are not published before capacity and terms are agreed.

  1. 01
    Architecture Diagnostic

    A fixed-scope review of current systems, constraints, decisions, dependencies, and material risks.

  2. 02
    Embedded Architecture Mandate

    Generally three to six months, subject to capacity, decision authority, and an agreed working cadence.

  3. 03
    Implementation & Review

    Guide internal teams and approved delivery resources through critical design and implementation decisions.

  4. 04
    Capability Transfer

    Documentation, mentoring, hiring support, operating routines, and a deliberate handoff.

Own the decisions that cross organizational boundaries.

The exact mandate is selected for the customer’s portfolio, not inferred from a generic executive title.

01

Architecture decision ownership and decision records

02

Weekly design, dependency, and risk reviews

03

Reference architecture and reusable patterns

04

Model, platform, framework, and vendor selection

05

Portfolio, capability, and implementation roadmap

06

Security, privacy, compliance, cost, and reliability trade-offs

07

Critical implementation, code, and design review

08

Executive steering updates and decision escalation

09

Coaching principal engineers and architecture leads

10

Hiring, capability transfer, and transition planning

Architecture decision record: model and runtime boundary

A representative structure for turning an ambiguous platform choice into a reviewable decision. This is a method example, not a customer case study.

ADR / REFERENCEStatus: example
Decision
Select the model access, tool execution, and evidence boundary for a defined agent class.
Inputs
Data classification, action risk, latency, quality gates, provider terms, operating cost, and support ownership.
Options
Managed enterprise service, customer gateway, private runtime, or a risk-tiered combination.
Evidence required
Evaluation results, control tests, cost model, failure analysis, operational readiness, and accountable approvals.
Revisit trigger
Provider change, new protected data, material capability expansion, control failure, or cost threshold.

Baljit Singh, Founder & AI Architect

The public record supports work across language models, neuro-symbolic and memory-centric systems, multi-agent architecture, hardware-aware AI, and four granted U.S. patents as a named co-inventor. Customer-specific production claims are not inferred from that background.

Public technical recordPatent sources, OpenLanguageModel, publications, research directions, and stated LLM engineering limitations.Review the evidence
Architecture methodOwnership matrix, operating-model patterns, secure AI overlay, and example decision record published as methods—not customer outcomes.Inspect the ownership matrix
Availability boundaryEvery embedded mandate is contingent on principal capacity, explicit decision authority, and separately confirmed implementation support.Check fit and capacity

Architecture authority is useful only when the mandate is clear.

Not staff augmentation. The engagement is accountable for defined decisions and artifacts, not an open queue of engineering tasks.

Not an outsourced title. Authority, stakeholders, escalation paths, and acceptance are established before work begins.

Not every specialist role. The architect does not replace the customer’s CISO, privacy counsel, clinical owner, enterprise governance body, or every implementation lead.

Not tied to one provider. Recommendations use customer requirements and explicit criteria. Mankash’s commercial relationship to Zentash is disclosed whenever Zentash is evaluated.

Architecture diagnostic

Give active teams one senior architecture decision path.

We will first determine whether the mandate, authority, evidence, and current capacity make an embedded engagement useful.

Request an architecture diagnostic