Job Information : Date Opened

03/02/2026

Job Type

Full time

Work Experience

10+ years

Industry

Technology

Visa Status

None

City

Hyderabad

State/Province

Telangana

Country

India

Zip/Postal Code

500001

Responsibilities :

- Define transparent architecture patterns across the full delivery journey from POC to production hardening to enterprise scale
- Balance performance, latency, cost, and risk in every design decision and create reusable blueprints and checklists for delivery teams
- Ensure production readiness across security, monitoring, fallback strategies, data governance, and compliance before solutions reach client environments
- Benchmark and evaluate emerging AI tools and models including OpenAI, Anthropic, Hugging Face, and custom-built frameworks for applicability and integration
- Perform in-depth research to stay current on advancements in generative AI, NLP, computer vision, and agentic AI, and translate findings into actionable architecture decisions
- Collaborate with stakeholders to assess business requirements and translate them into concrete AI strategies and implementation roadmaps
- Lead pre-sales solutioning efforts - AI discovery workshops, architecture proposals, and client-facing technical presentations
- Guide engineering teams with clear architecture direction, review designs, implementation approaches, and agent workflows
- Step in hands-on to resolve complex architectural, integration, and orchestration challenges when teams are blocked
- Partner with the Delivery Manager to manage risks, dependencies, and delivery escalations proactively
- Implement responsible AI protocols addressing governance, ethical usage, bias detection, and regulatory compliance
- Identify data quality and privacy risks, and ensure data security standards are upheld across all AI solutions




- Act as a mentor for offshore AI developers and engineers, building skills in prompt engineering, RAG, agent design, and LLMOps
- Facilitate cross-disciplinary collaboration with data scientists, engineers, product managers, and business stakeholders to drive project success
- Conduct periodic evaluations of deployed AI systems, recommending enhancements for improved performance and operational efficiency.

Requirements :

- 15+ years of overall IT experience with at least 5 years of hands-on experience in GenAI, ML engineering, and agentic AI design and implementation, not just advisory
- Proven experience designing end-to-end AI solutions including LLMs (OpenAI, Anthropic, open-source models), embeddings, vector databases, and retrieval systems
- Hands-on experience with agentic and orchestration frameworks such as LangGraph, LangChain, or Semantic Kernel, including multi-agent design, tool routing, and memory management
- Familiarity with foundational models including GPT, BERT, Llama, and Mistral, and their customization for enterprise use cases
- Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face
- Skills in cloud AI platforms (Azure, AWS, GCP) with practical understanding of deployment trade-offs between managed APIs and self-hosted models
- Understanding of MLOps and LLMOps principles, including CI/CD for AI, eval-driven deployments, prompt versioning, and production monitoring
- Experience with pipeline orchestration tools such as Airflow or Kubeflow, and container platforms including Docker and Kubernetes
- Expertise in responsible AI governance, ethical frameworks, bias detection, and compliance with data privacy regulations (GDPR, CCPA)
- Strong ability to lead and mentor technical teams, and communicate complex AI concepts clearly to both engineering teams and business stakeholders
- Experience with CRM or ERP platforms (Salesforce, SAP) is an advantage

📌 Ai Architect (Hyderabad)
🏢 SoftClouds
📍 Hyderabad