AI Solutions Architect

As an experienced AI Solutions Architect at Akhil Systems, your role will involve designing and implementing scalable AI-driven solutions across various business functions. You will be responsible for translating business requirements into practical AI architectures, selecting the appropriate AI technologies, and leading end-to-end solution design and execution. Your expertise in AI/ML technologies, automation frameworks, LLMs, AI agents, system integrations, and enterprise solution architecture will be crucial in this role. 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 In addition to the technical responsibilities, you will be expected to: - Analyze business challenges - Design solution architecture - Select the right AI tools and technologies - Create implementation workflows - Lead technical discussions with stakeholders - Drive AI projects from concept to production As an experienced AI Solutions Architect at Akhil Systems, your role will involve designing and implementing scalable AI-driven solutions across various business functions. You will be responsible for translating business requirements into practical AI architectures, selecting the appropriate AI technologies, and leading end-to-end solution design and execution. Your expertise in AI/ML technologies, automation frameworks, LLMs, AI agents, system integrations, and enterprise solution architecture will be crucial in this role. 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 G