Solutions Architect

Role Overview:

We are seeking a seasoned AI Solution / Technical Architect with deep expertise in architecting and delivering enterprise-grade AI solutions. The ideal candidate will possess a strong foundation in Microsoft AI technologies and cloud-native architectures, capable of leading solutioning efforts, engaging with clients and pre-sales teams, and translating complex business requirements into scalable AI-driven systems. This role demands hands-on technical expertise, architectural vision, and strong client interaction capabilities to drive the success of AI initiatives.

Job Responsibility

• Solution Architecture & Design

• Architect end-to-end AI/ML solutions using Microsoft Azure AI ecosystem (Azure OpenAI, Cognitive Services, MLOps, Power Platform).
• Collaborate with cross-functional stakeholders to gather requirements and design scalable, secure, and high-performance AI solutions.
• Develop reference architectures, technical blueprints, and implementation roadmaps.
• Guide the technical implementation of AI platforms, ensuring architectural integrity and adherence to enterprise standards.

• Pre-Sales & Client Engagement
• Partner with pre-sales and sales teams to develop solution proposals, respond to RFPs/RFIs, and present architecture strategies.
• Conduct solution workshops, PoC demonstrations, and technical deep-dives with client stakeholders.
• Translate business challenges into innovative AI architecture, ensuring alignment with client goals and technical feasibility.

• AI & Microsoft Technology Leadership
• Deep knowledge of Microsoft AI services, including Azure OpenAI, Cognitive Services, Bot Framework, and integration patterns with .NET and Python.
• Design and implement AI/ML pipelines, APIs, and cognitive interfaces leveraging Microsoft tools and cloud-native patterns.
• Advocate best practices around scalability, security, compliance, and performance optimization in AI environment

Technical Leadership & Governance

• Act as the AI architecture authority across engagements, guiding technical teams through delivery lifecycles.
• Collaborate with engineering and delivery managers to ensure solution designs are translated into robust implementations.
• Mentor AI engineers and developers on architectural standards, modern development techniques, and Microsoft technology stacks.
• Innovation & Best Practices

• Stay ahead of emerging trends in AI and cloud architecture to influence future roadmap and service offerings.
• Promote reuse, modularity, and architectural consistency across AI projects.
• Contribute to internal knowledge assets, reusable components, and reference models to accelerate delivery.

Skills Preferred:

Must-Have:

• 1012 years of experience in designing and delivering enterprise AI solutions.
• Expert-level knowledge of Microsoft Azure AI stack, including Azure OpenAI, Cognitive Services, Azure ML, and MLOps practices.
• Proven track record in architecture design, technical leadership, and stakeholder engagement.
• Hands-on experience with Python and/or .NET for AI solution development.
• Strong communication and client-facing consulting skills.

Good-to-Have:

• Microsoft Certified: Azure Solutions Architect / Azure AI Engineer Associate.
• Experience in BFSI, Healthcare, or E-commerce AI deployments.
• Exposure to DevOps and cloud-native AI delivery pipelines.

Interested candidate apply on [HIDDEN TEXT] or call on 8980447790

atQor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, colour, family or medical care, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.