Senior Solution Architect AWS,Agentic AI

5 hours ago

India Mcsquared Ai Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title: Senior Solution Architect AWS, Agentic AI & Model Context Protocol (MCP)

Job Summary:

We are looking for a seasoned Senior Solution Architect with a strong background in AWS architecture, Agentic AI systems, and familiarity with the Model Context Protocol (MCP). This role will drive the design, implementation, and optimization of secure, scalable, cloud-native solutions that incorporate intelligent, context-aware AI components. The ideal candidate will bring deep technical expertise, strategic vision, and a collaborative mindset to architect future-forward systems for enterprise-scale innovation.

Key Responsibilities:

Cloud & Solution Architecture Leadership

Lead the end-to-end design and implementation of solutions on AWS (EC2, Lambda, VPC, S3, CloudFormation, etc.).

Define architectural best practices and enforce governance for cloud-native and hybrid-cloud systems.

Ensure solutions meet high standards of scalability, security, reliability, and cost-efficiency.

Agentic & Generative AI Enablement

Design and integrate Agentic AI frameworks that support autonomous, context-aware system behavior.

Partner with AI/ML teams to embed generative intelligence into workflows and enterprise platforms.

Model Context Protocol (MCP) Integration

Apply MCP to facilitate seamless data exchange between AI agents and enterprise systems.

Architect context-rich, intelligent systems to enhance automation and operational decision-making.

Technical Leadership & Stakeholder Collaboration

Serve as a key technical authority across Engineering, DevOps, Security, Data, and Product teams.

Translate business requirements into architectural strategies and mentor junior and mid-level technologists.

Lead architectural reviews, threat modeling sessions, and modernization efforts.

Technical Skills:

Cloud Platforms: 5+ years of hands-on architecture experience with AWS core services.

AI Systems: Experience with Agentic AI and generative AI frameworks (e.g., LangChain, AutoGPT).

MCP Knowledge: Understanding of Model Context Protocol; capable of integrating LLMs with APIs, databases, and services.

Programming: Proficient in Python, Java, or TypeScript for AI and data-driven workflows.

Architecture Principles: Strong grasp of API design, microservices, and DevSecOps practices.

Soft Skills:

Exceptional leadership and stakeholder management.

Strong communication and interpersonal skills.Strategic thinking with the ability to influence and drive technical vision.

Mentoring capability for junior and mid-level engineers.

Qualifications and Certifications:

AWS Certified Solutions Architect – Professional certification is highly preferred.

Additional certifications in AI, cloud security, or enterprise architecture are a plus.

Demonstrated success in designing and delivering secure, scalable, and cloud-native enterprise solutions

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