AI Architect

  Greetings from SRIK Consulting Services Pvt Ltd !

SRIK Consulting Hiring :  AI Architect immediately

Requirement Check List
Role	AI Architect
Experience Range	10+ Years
Employment Type(FTE/Contract)	Contract
Hybrid/Remote	Remote, Hybrid if needed
If Hybrid Location	Hyderabad
Time Zone	N/A
Priority	Critical
Client Interview(Yes/No)	Yes
PF(Yes/No)	Yes
BGV(Yes/No)	Yes

For onboarding - Resource needs to travel to Hyderabad office for 1-2 days based on the process

For UAN - Yes, we need to submit it

 For PF - monthly report not needed

Remote/Hybrid : Remote, Hybrid if needed

Job Description:

Key Responsibilities

1. AI Use Case Definition & Value Articulation

• Engage with business stakeholders to identify, assess, and prioritize AI/ML use cases across domains (e.g., operations, customer experience, risk, finance, HR, supply chain, IT).
• Articulate business value, outcomes, and KPIs for AI initiatives, including productivity gains, cost optimization, revenue enablement, and customer impact.
• Define technology‑driven use cases, such as intelligent automation, AIOps, predictive maintenance, anomaly detection, knowledge assistants, and developer productivity.
• Translate high‑level business problems into AI‑amenable problem statements and solution approaches.

 2. AI Reference Architecture & Solution Design

• Design and maintain end‑to‑end reference architectures for AI workloads, covering:
• Data ingestion and engineering
• Feature stores and data pipelines
• Model development, training, and experimentation
• Model deployment, inference, and serving
• Monitoring, observability, and retraining
• Define architectural patterns for:
• Classical ML, deep learning, and GenAI / LLM‑based solutions
• Batch vs. real‑time inference
• Cloud, hybrid, and on‑premises AI workloads
• Ensure architectures comply with enterprise standards for scalability, resilience, security, privacy, and cost efficiency.

 3. Platform, Tools & Technology Strategy

• Define the AI/ML platform strategy, including preferred tools, frameworks, and services (open source, commercial, and cloud‑native).
• Provide architectural guidance on:
• MLOps and LLMOps practices
• Model lifecycle management
• CI/CD integration for AI workloads
• Evaluate emerging AI technologies and make build vs. buy vs. partner recommendations.

 4. Governance, Security & Responsible AI

• Embed Responsible AI principles into architecture designs, including fairness, explainability, transparency, and ethical use.
• Ensure compliance with data privacy, regulatory, and security requirements.
• Collaborate with risk, compliance, and security teams to define AI governance guardrails and architectural controls.

 5. Enablement & Collaboration

• Act as a thought leader and trusted advisor to engineering and product teams on AI architecture and best practices.
• Create and maintain architecture artifacts, blueprints, standards, and decision records.
• Support engineering teams during solution design and critical implementation phases.
• Contribute to AI literacy and capability building across the organization.

 Required Qualifications

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

Experience

• 8+ years of experience in software, data, or enterprise architecture, with hands‑on experience in AI/ML solutions.
• Proven experience defining AI use cases and translating them into production‑grade architectures.
• Experience working in large, complex, enterprise environments.

 Technical Skills

• Strong understanding of:
• Machine learning concepts, deep learning, and generative AI
• Data architecture, pipelines, and analytical platforms
• Experience with:
• Cloud platforms (Azure, AWS, or GCP) and their AI/ML services
• MLOps / LLMOps tools and practices
• APIs, microservices, and event‑driven architectures
• Familiarity with:
• Model monitoring, drift detection, and performance management
• Security and data privacy considerations for AI systems

 Business & Soft Skills

• Strong ability to communicate complex AI concepts to non‑technical stakeholders.
• Excellent stakeholder management and facilitation skills.
• Strategic mindset with a strong focus on business outcomes and value realization.
• Ability to operate at both strategic and hands‑on architectural levels.

 Nice to Have

• Experience with industry‑specific AI use cases in Payments and Finance Industry.
• Exposure to AI governance frameworks and responsible AI initiatives.
• Certifications in Data, or AI/ML.

Prior experience establishing or scaling an enterprise AI capability or center of excellence

How to Apply:

Please share your updated resume in word format srikconsulting08@gmail.com or call us on +91 81795 52716 along with the following details:

 Total Experience (T. Exp)

 Relevant Experience in Ai Architect (R. Exp)

 Current CTC (C. CTC)

 Expected CTC (E. CTC)

 Notice Period

 Current Location (C. Location)

 Preferred Work Location

 Email

 Mobile Number

In case of Contractor need your budget per hour in INR :  

References:

 

We highly appreciate any references you can provide.

Thank you for your interest in SRIK Consulting!

 

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