Required Skills

apiawsazuremachine learningnlp

Job Description

Job Location:Gurugram
Experience Level:5\-8 Years
No. of Opening:1

* Job Purpose

+ Akhil Systems is seeking an experienced AI Solutions Architect to design and implement scalable AI\-driven solutions across business functions. The ideal candidate should be capable of translating business requirements into practical AI architectures, selecting the right AI technologies, and leading end\-to\-end solution design and execution. This role requires strong expertise in AI/ML technologies, automation frameworks, LLMs, AI agents, system integrations, and enterprise solution architecture.

* Key Responsibilities

+ - Design end\-to\-end AI solutions based on business requirements

Define AI implementation roadmaps, workflows, and system architecture.
Evaluate and select appropriate AI models, frameworks, and tools for specific use cases.
Architect AI\-powered applications using LLMs, AI Agents, RAG, NLP, Computer Vision, and Automation technologies.
Collaborate with business stakeholders to identify automation and AI opportunities.
Lead technical decision\-making related to AI platforms, deployment strategies, security, and scalability.
Integrate AI solutions with existing enterprise systems, APIs, databases, and cloud environments.
Establish best practices for AI governance, performance monitoring, and optimization.
Guide development teams throughout implementation and deployment phases.
Stay updated with emerging AI technologies and recommend innovative solutions.
Required Skills Must\-Have Qualifications:

+ - 5\+ years of experience in Software Architecture, AI, ML, or Solution Design.

Hands\-on experience with Generative AI and Large Language Models (LLMs).
Experience with AI frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, or similar.
Strong understanding of RAG (Retrieval\-Augmented Generation), AI Agents, Prompt Engineering, and Vector Databases.
Experience working with OpenAI, Anthropic, Gemini, or open\-source LLMs.
Knowledge of Machine Learning lifecycle and model deployment.
Experience designing scalable cloud\-based architectures.
Strong API integration and system design expertise.
Ability to convert business problems into technical AI solutions.
Excellent stakeholder management and decision\-making skills.
Good to Have:

+ - Experience with Azure AI, AWS AI Services, or Google Cloud AI.

Knowledge of MLOps and AI governance.
Experience building enterprise\-grade AI assistants or automation platforms.
Exposure to Computer Vision, OCR, Speech\-to\-Text, and Document Intelligence solutions.
What We're Looking For:

+ **We need someone who can independently:**