Scan your resume against ATS criteria for this AI Architect role at Fa Etvl Saasfaprod1.
across both engines: the 18-agent ZenseAI.QI stack (DeepSpeci, CaseGeni, Auto-PlayPilot, DataGeni, Secure-Xi, Perf-Xi, Insights360, RIA and Accessibility Intelligence) and the four-pillar ZenseAI.AssureAI framework (Data Quality, Model Evaluation, Trustworthiness, and Scalability & Security).
for Classical ML, Generative AI and Agentic AI, including the signature eight-axis agentic trajectory scorecard graded on every run.
and deployable on any client stack — on-prem, cloud or hybrid — as model-mixing and constant provider churn become the market norm.
for accelerators such as the Agentic Foundry (a 25-blueprint reference matrix) and the curated, swap-ready tooling ecosystem around each archetype.
— ground-truth Q&A sets, LLM-as-judge rubrics, frozen baselines — that gate every release rather than validate it after the fact.
for agentic and generative systems, and drift monitoring and fairness audits for classical ML.
— showing, not just telling, how a live harness beats a-time audit.
across both engines, translating client requirements into a defensible solution architecture and commercial structure.
— AI QA Assessment, AI QA Transformation, Managed AI QA — and fast-starts such as the LLM Health Check, Agent Stress Test and Compliance Sprint.
that hold up under client and internal scrutiny, across client-managed, risk-reward and Zensar-managed commercial models.
directly to client stakeholders — from QA Directors and Heads of AI/ML Engineering to CTOs, Chief Risk Officers and Chief AI Officers — adapting the narrative to each audience.
including guiding a CIO through the Agentic Foundry in a single session.
that make the assurance story board-ready.
as the senior technical voice for Quality Intelligence, alongside account and sales leadership.
that turn a client's stated risk into a small, credible proof — the practice's proof-first approach to closing.
as the practice's thought leadership and pipeline develop.
across BFSI, TMT, and Manufacturing & Retail back into the practice's IP base.
— Prompt Engineer, LLM-Eval Engineer, Agent Architect, Trajectory Eval Engineer, Knowledge/RAG Engineer, AI Security Analyst and Adversarial Red/Blue Team Lead.
for QI associates across the practice.
of overall technology experience, including a substantial, hands-on foundation in Quality Engineering / Test Engineering — automation architecture, test strategy and the full software testing lifecycle — not AI experimentation layered on top of a thin QE background.
— the “one estate” narrative is the core sell, and the architect has to embody it, not just recite it.
of overall technology experience, including a substantial, hands-on foundation in Quality Engineering / Test Engineering — automation architecture, test strategy and the full software testing lifecycle — not AI experimentation layered on top of a thin QE background.
— the “one estate” narrative is the core sell, and the architect has to embody it, not just recite it.
How to apply for AI Architect at Fa Etvl Saasfaprod1?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
21+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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