AI Platform Architect

On-Site role

Job Description:

• Experience: 10+ Years.

Cloud Architecture, Automation & FinOps:
Good:

• Hands-on experience with GCP (preferred), Azure, or Databricks environments.
• Implements IaC (Terraform, Bicep) and containerized workloads.
• Applies standard scaling and availability patterns.

Better:

• Designs multi-cloud AI infrastructure with integrated governance.
• Embeds policy controls directly into IaC and deployment pipelines.

Drives AI FinOps discipline:

• Token usage optimization.
• Cost/performance trade-offs.
• Enterprise cost visibility.

Security, Compliance & Risk:
Good:

• Applies standard cloud security practices (IAM, encryption, secrets).
• Understands basic secure CI/CD practices.
• Follows established governance requirements.

Better:

• Embeds security and compliance into AI pipelines (shift-left).
• Implements model risk management controls:
• Auditability.
• Explainability.
• Access governance.
• Designs systems aligned to regulated environments (e.g., NERC, data boundaries).
• Enforces runtime guardrails and policy controls.

AI/ML Lifecycle & Observability:
Good:

• Implements model monitoring (performance metrics, drift detection).
• Uses tools for logging, alerting, and basic observability.
• Understands retraining triggers and lifecycle stages.

Better:

• Designs enterprise observability strategy for AI systems, including:
• Model + agent performance.
• Data drift, bias, and reliability signals.
• Implements centralized monitoring frameworks across platforms.
• Enables proactive detection and automated response mechanisms.
• Aligns observability to business KPIs (adoption, cost, accuracy, reliability).

Agentic AI / Advanced AI Systems:
Good:

• Exposure to LLM-based applications or agents.
• Understands prompting, API integrations, and basic orchestration.
• Familiar with agent frameworks (e.g., LangChain-style patterns).

Better:

• Designs and operates agent-based systems at scale, including:
• Multi-agent coordination.
• Tool usage orchestration.
• Memory and state management.
• Implements agent runtime guardrails, safety controls, and policy enforcement.
• Establishes AgentOps practices (deployment, testing, monitoring, iteration).
• Understands failure modes of autonomous systems and mitigation strategies.

About us:
At our organization, we take our mission and values to heart! We are on a mission to offer more and better jobs all over the world! Our goal is to care for you while you care for our clients and get you paid the highest pay possible. All our associates working with us are expected to embrace our RACE values: R - Results Matter, A- Approachable, C - Care, and E - Emergency i.e. work with a sense of urgency.

For more relevant job opportunities please visit our website:  Denken Solutions Careers