Solution Architect

Prudent Technologies and Consulting, Inc.; Hyderabad; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Prudent Technologies and Consulting, Inc. in Hyderabad, India seeks a seasoned Full Stack Solution Architect to define end-to-end architecture for digital products. You will translate business needs into scalable technical solutions spanning frontend, backend, data, cloud, and ML workstreams.

Responsibilities include establishing target architectures, roadmaps, governance, and architecture assurance while guiding delivery from concept to production. Strong .NET and AI/ML experience are essential.

Qualifications

• 13+ years in software development with architecture delivery.
• Hands-on with .NET technologies (C#, ASP.NET Core, EF).
• Experience delivering full-stack solutions across cloud, data, and integrations.
• Strong SQL Server and data/ETL experience.
• Experience with RESTful services, microservices, and SOA patterns.
• Experience with cloud platforms (Azure/AWS) and DevOps practices.
• Proven ability to lead architecture reviews and mentor teams.

Responsibilities

• Lead end-to-end enterprise web, cloud-native, and AI/ML-enabled apps architecture.
• Translate requirements into architecture blueprints, roadmaps, and plans.
• Define target architectures, governance, and standards.
• Provide architecture assurance and ensure security and compliance.
• Drive full lifecycle delivery from concept to operation.
• Design AI/ML features, data pipelines, and model deployment.
• Define API contracts and integration patterns.
• Mentor teams and review designs; engage with stakeholders.

Skills

Enterprise architecture

Stakeholder communication

Mentoring teams

Architecture leadership

Problem solving

Tools

C#

ASP.NET Core

MVC

Entity Framework

Docker

Kubernetes

Helm

SQL Server

REST APIs

Job description

We are looking for a seasoned Full Stack Solution Architect with strong enterprise solution design experience and deep hands-on expertise in .NET and AI/ML-enabled platforms. This role is responsible for defining end-to-end architecture for new and existing digital products, translating business requirements into scalable technical solutions, and guiding delivery across frontend, backend, data, cloud, integration, and machine learning workstreams.

Key Responsibilities

• Lead end-to-end solution architecture for enterprise web, cloud-native, and AI/ML-enabled applications across frontend, backend, integrations, data, and infrastructure layers.
• Translate business requirements, user specifications, and stakeholder discussions into architecture blueprints, technical roadmaps, delivery plans, and scalable implementation approaches.
• Define target-state architectures, roadmaps, standards, timescales, and governance mechanisms to support effective use of technology and digital services.
• Act as design authority and provide architecture assurance, ensuring all architecture deliverables are aligned with organizational standards, policies, security requirements, and strategic goals.
• Drive full lifecycle solution delivery from concept, requirements gathering, specification, design, development, testing, acceptance, deployment, and operational support.
• Design and enable AI/ML-powered features and platforms, including model selection, data pipelines, feature engineering, inference patterns, deployment, evaluation, monitoring, and optimization.
• Build prototypes and proof of concepts for AI-enabled capabilities, including model fine-tuning and production-readiness assessments.
• Define API contracts, system integration patterns, and technical architecture artifacts for enterprise-scale applications and services.
• Guide engineering teams on coding standards, reusable frameworks, design patterns, and architectural best practices.
• Establish and maintain standards for CI/CD, automated testing, source code management, containerization, orchestration, observability, and operational readiness.
• Evaluate and select appropriate cloud platforms, managed services, MLOps tools, frameworks, libraries, and third-party vendor solutions.
• Ensure strong security, privacy, compliance, resilience, and performance optimization across applications, APIs, and ML pipelines.
• Provide leadership in determining and promoting appropriate frameworks, libraries, tools, and engineering approaches used to translate architecture into working code.
• Mentor technical teams, review solution designs and code, lead architecture reviews, and help build new technical capabilities within the team.
• Engage confidently with senior stakeholders, clients, and both technical and non-technical audiences to explain solution approaches, trade-offs, and delivery considerations.
• Drive cost optimization, capacity planning, enterprise integration strategy, and support for organizational change and technology adoption.

Required Qualifications

• 13+ years of software development experience, including significant experience in solution architecture, technical design, and enterprise application delivery.
• Strong hands-on experience with .NET technologies, including C#, .NET Framework, .NET Core / ASP.NET Core, MVC, Web API, and Entity Framework / Entity Framework Core.
• Proven experience architecting and delivering full stack solutions spanning backend services, web applications, data platforms, integrations, and cloud infrastructure.
• Solid experience with SQL Server and broader data technologies, including SQL/NoSQL databases, ETL, data pipelines, and enterprise data integration.
• Experience with distributed systems, REST APIs, JSON, SOAP, WCF, microservices, SOA, and enterprise integration patterns.
• Hands-on knowledge of AI/ML concepts and implementation, including building, fine-tuning, deploying, or integrating machine learning models into production applications.
• Experience with cloud platforms such as Azure and/or AWS, including compute, storage, databases, identity and access management, networking, and managed platform services.
• Experience with DevOps practices and tools, including source control, continuous integration, continuous deployment, automated testing, and release governance.
• Strong understanding of containerization and orchestration technologies such as Docker, Kubernetes, and Helm.
• Strong understanding of application security, data privacy, compliance, and performance tuning.
• Excellent documentation, technical proposal writing, presentation, and communication skills.
• Strong interpersonal and stakeholder management skills, with the ability to influence technical direction and communicate effectively with clients, leadership, and delivery teams.

Preferred Qualifications

• Experience with MLOps tools and platforms such as MLflow, Kubeflow, SageMaker, Vertex AI, or similar.
• Experience with LLM-based applications, prompt engineering, retrieval-augmented generation (RAG), and vector databases such as Pinecone, Milvus, Weaviate, or FAISS.
• Familiarity with high-throughput, low-latency architectures and real-time inference systems.
• Experience with observability and monitoring tools such as Prometheus, Grafana, and ELK.
• Experience with IIS, Mono, ASP.NET MVC vNext, and related Microsoft web ecosystem technologies.
• Knowledge of CRM and collaboration platforms such as SharePoint and Microsoft Dynamics.
• Prior experience in product-led or SaaS environments and in leading cross-functional engineering teams.
• Ability to adopt emerging technologies quickly and establish new capabilities within architecture or engineering teams.