Artificial Intelligence Solutions Architect | Okhla | 5-9 yrs

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Job Type

Full Time

Job Description

Job Title: Artificial Intelligence Solutions Architect
Location: New Delhi (Work from Home option available)
Role Overview


The Artificial Intelligence Solutions Architect will be responsible for designing, architecting, and guiding the implementation of enterprise-grade AI solutions with a strong focus on Retrieval-Augmented Generation (RAG) and hybrid RAG architectures. This role bridges business requirements and advanced AI engineering, ensuring scalable, secure, and production-ready AI systems. The position requires hands-on architectural depth combined with the ability to influence technical direction and mentor engineering teams.

Key Responsibilities
  • Architect end-to-end AI solutions with a focus on RAG and hybrid RAG implementations for enterprise use cases.
  • Design scalable, secure, and cost-efficient AI system architectures aligned with business objectives.
  • Define and govern AI solution blueprints, reference architectures, and best practices.
  • Lead the integration of NLP, reinforcement learning, and machine learning pipelines into production systems.
  • Establish MLOps frameworks for model lifecycle management, monitoring, versioning, and deployment.
  • Collaborate with product, engineering, data, and DevOps teams to translate requirements into robust technical designs.
  • Ensure AI solutions adhere to data privacy, security, and enterprise governance standards.
  • Review solution quality through architectural reviews, technical validations, and implementation checkpoints.
Mandatory Skills & Experience
  • Proven hands-on experience as an AI / ML Solutions Architect or similar role in enterprise environments.
  • Strong expertise in RAG and hybrid RAG architectures, including retrieval strategies and vector-based systems.
  • Deep understanding of NLP techniques and large language model integration patterns.
  • Experience designing and operating MLOps pipelines for training, deployment, monitoring, and retraining.
  • Working knowledge of reinforcement learning concepts and applied use cases.
  • Ability to design cloud-native, scalable, and resilient AI architectures for production workloads.
  • Strong documentation, architectural communication, and stakeholder engagement skills.
Good-to-Have / Optional Skills
  • Experience with multi-tenant or SaaS-based AI platforms.
  • Exposure to AI cost optimization, observability, and performance tuning.
  • Familiarity with responsible AI, governance, and explainability frameworks.
  • Experience working with globally distributed engineering teams.
Tools & Technologies Exposure
  • Experience with modern LLM ecosystems and AI orchestration frameworks.
  • Exposure to vector databases, embedding models, and retrieval pipelines.
  • Working knowledge of cloud platforms and containerized deployments.
  • Familiarity with CI/CD and infrastructure-as-code practices for ML systems.
What You Will Work On
  • Architecting and evolving enterprise-grade AI and agentic AI platforms.
  • Designing and improving hybrid RAG pipelines for high-accuracy, low-latency applications.
  • Defining MLOps standards and deployment patterns for scalable AI systems.
  • Supporting multiple business domains with reusable AI architecture frameworks.
  • Enabling engineering teams with clear architectural direction and best practices.
About Mobiloitte

Mobiloitte is a global technology consulting and engineering organization delivering enterprise-scale solutions across AI, data, cloud, mobility, and emerging technologies. With a strong focus on building production-ready, secure, and scalable systems, Mobiloitte partners with enterprises, governments, and fast-growing organizations worldwide to solve complex business and technology challenges. The company emphasizes engineering discipline, innovation with purpose, and long-term client and employee success.

Collaboration & Work Culture
  • Work closely with product managers, data scientists, architects, and engineering leaders.
  • Operate within a structured, process-driven engineering environment.
  • Encourage ownership, accountability, and high-quality technical outcomes.
  • Support continuous learning and architectural excellence across teams.
What We Offer
  • Competitive compensation;

    salary is not a constraint for the right candidate

    .
  • Long-term career growth in advanced AI and enterprise platforms.
  • Exposure to complex, real-world AI systems at scale.
  • Flexible work arrangements within a professional, outcome-driven environment.


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Team- HR

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