Job Opportunities

AI Solution Architect - 12+ Years

Job Title: AI Solution Architect

Experience
12+ years in software engineering, solution architecture, or related roles, with at least 3–5 years of hands-on experience in AI/ML and GenAI-driven solutions.

Role Overview
We are seeking a highly experienced AI Solution Architect to design, lead, and implement scalable, enterprise-grade AI solutions. The ideal candidate will have strong expertise in Generative AI, AI-assisted development (vibe coding), automation frameworks, and the ability to translate business problems into impactful AI-driven architectures.
This role requires a blend of technical depth, architectural thinking, and business acumen, with hands-on involvement in building AI-powered systems.

Key Responsibilities:

* Solution Architecture & Design
Design end-to-end AI/ML and Generative AI architectures for enterprise use cases.
Define scalable, secure, and high-performance AI solution blueprints.
Architect solutions leveraging LLMs, multi-agent systems, RAG pipelines, and vector databases.
Integrate AI solutions with enterprise systems (ERP, CRM, data platforms, APIs).

* AI & GenAI Implementation
Lead development of AI-powered applications using:
LLM frameworks (LangChain, LlamaIndex, etc.)
OpenAI / open-source models (LLaMA, Mistral, etc.)
Build and optimize:
Prompt engineering strategies
Retrieval-Augmented Generation (RAG)
Fine-tuning and model customization
Ensure responsible AI practices (bias mitigation, explainability, governance).

* AI-Assisted Development (Vibe Coding) & Automation
Leverage tools like GitHub Copilot, Cursor, Windsurf, Gemini, ChatGPT, etc. to accelerate development.
Drive AI-led coding practices, rapid prototyping, and developer productivity.
Design intelligent automation solutions using:
RPA (UiPath, Automation Anywhere)
Workflow orchestration tools
AI agents for process automation

* Technology Leadership
Evaluate and recommend emerging AI tools, frameworks, and platforms.
Provide technical leadership and mentorship to engineering teams.
Define best practices, coding standards, and reusable frameworks.

* Stakeholder Engagement
Work closely with BD team/Sales team/ business leaders to identify AI opportunities.
Translate business requirements into technical AI solutions.
Present architecture, PoCs, and solutions to senior stakeholders and customers

* Governance & Scalability
Ensure compliance with enterprise security, privacy, and regulatory requirements.
Design monitoring, observability, and performance optimization strategies for AI systems.

Required Skills & Competencies

Technical Skills
Strong programming expertise in Python (mandatory), and familiarity with Java/Node.js is a plus.
Deep understanding of:
Machine Learning & Deep Learning concepts
Generative AI, Large Language Models (LLMs) , SLMs.
Experience with:
RAG pipelines, embeddings, vector databases (Pinecone, FAISS, Weaviate)
Cloud platforms: AWS / Azure / GCP (AI services, MLOps)
API design, microservices architecture, and distributed systems
Hands-on with:
LangChain / LlamaIndex / Semantic Kernel
Model deployment and MLOps pipelines
Familiarity with:
Data engineering pipelines and big data ecosystems

AI Tools & Ecosystem
Expertise in modern AI tools including:
AI coding assistants (Copilot, cursor, windsurf, ChatGPT, etc.)
Automation platforms (RPA + AI integration)
Prompt engineering and evaluation tools
Strong awareness of rapidly evolving AI landscape

Soft Skills
Excellent problem-solving and analytical thinking
Strong communication and presentation skills
Ability to work with cross-functional and global teams
Strategic thinking with execution focus

Preferred Qualifications
Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or related field
Certifications in cloud (AWS/Azure/GCP) or AI/ML domains
Experience in enterprise domains like Telecom, BFSI, Healthcare, or Retail
Exposure to AI governance frameworks and ethical AI practices