Solution Architect AI

Job Position - Solution Architect (AI & Product Engineering)

Experience Required years

Job Type - Full time

Location - Hyderabad, India

Overview

We are seeking a visionary leader with extensive experience in AI-based product innovation and development to drive the integration of advanced AI, Generative AI, and Multimodal AI systems into innovative solutions. This role requires a deep understanding of AI ecosystems to build strategic partnerships and onboard top talent while also possessing expertise in patent filing to protect intellectual property.

Role and Responsibilities

AI AI/ML Solution Architecture & Design

• Design comprehensive AI solution architectures that are scalable, maintainable, and

aligned with business objectives

• Create detailed architectural diagrams, technical specifications, and solution blueprints

• Evaluate and recommend AI frameworks, models, and tools (e.g., TensorFlow, PyTorch,

LangChain (AutoML).

• Define data strategies for AI model training, including data pipelines, storage,

governance, and feature engineering.

• Optimize data processing workflows for real-time and batch AI applications.

Cloud & Infrastructure

• Architect and deploy AI solutions on GCP, AWS, Azure, or OCI, optimizing for cost,

performance, and scalability.

• Implement containerized AI workloads (Docker, Kubernetes) and serverless AI solutions.

• Design high-availability, fault-tolerant, and secure AI infrastructure.

Data Architecture & Management

• Design and implement data architectures that support effective AI model deployment

• Define data pipelines, storage strategies, and data governance frameworks

• Establish data lineage and metadata management practices while integrating big data

technologies (Spark, Databricks, Snowflake) for AI-driven analytics.

MLOps & DevOps

• Build end-to-end MLOps pipelines (MLflow, Kubeflow, SageMaker, Vertex AI) for model

lifecycle management.

• Implement CI/CD for AI models, including automated testing, versioning, and rollback.

• Design monitoring, logging, and alerting for AI models in production.

Technical Leadership

• Lead the development of end-to-end AI solutions from conception to deployment

• Collaborate with cross-functional teams, including data scientists, engineers, and product

managers

• Provide technical guidance and mentorship to development teams

• Conduct architectural reviews and ensure adherence to design principles

Performance & Optimization

• Monitor and optimize AI system performance, latency, and resource utilization

• Implement cost optimization strategies for AI infrastructure and operations

• Conduct capacity planning and scaling strategies for AI workloads

• Troubleshoot and resolve complex AI system issues

Innovation & Research

• Stay current with emerging AI technologies, frameworks, and industry trends

• Evaluate and pilot new AI tools and technologies for potential adoption

• Drive innovation initiatives and proof-of-concept development

• Participate in AI community events and knowledge sharing

Stakeholder Engagement

• Present technical solutions and architectural designs to stakeholders and leadership

• Collaborate effectively with business teams, sales, and business development teams to

support pre-sales activities, including presentations and demonstrations, to understand

requirements and constraints.

• Facilitate technical discussions and decision-making processes

Experience Requirement

• 7+ years of total professional experience in technology and solution architecture

• 2+ years of hands-on experience in AI/ML solution development and implementation

• 5+ years of experience working with cloud platforms (GCP, AWS, Azure, OCI)

Technical Skills

• AI/ML Frameworks: TensorFlow, PyTorch, Hugging Face, LangChain, AutoML.

• Cloud AI Services: SageMaker, Vertex AI, Azure ML, Bedrock, LLM APIs.

• MLOps Tools: MLflow, Kubeflow, TFX, Docker, Kubernetes, CI/CD pipelines.

• Data Engineering: Spark, Databricks, BigQuery, Snowflake, Airflow.

• Programming: Python (advanced), Java/Scala, SQL, PySpark.

• Agentic AI: RPA tools (UiPath, Automation Anywhere), process mining.

• Hands-on experience with CI/CD pipelines and DevOps practices

Preferred Qualifications

• Master's degree in Computer Science, Engineering, or related technical field

• Certifications in cloud platforms (GCP Professional Cloud Architect, AWS Solutions

Architect, Azure Solutions Architect)

• Experience with real-time AI applications and streaming data processing

• Knowledge of AI ethics, bias detection, and responsible AI practices

• Experience with microservices architecture and API design

• Strong programming skills in Python, TensorFlow, PyTorch, scikit-learn, and other

relevant AI development tools and frameworks.

Soft skill

• Excellent communication and presentation skills

• Strong collaborative mindset with ability to work across diverse teams

• Leadership capabilities with experience mentoring technical team members

• Problem-solving skills with the ability to think strategically and analytically

• Adaptability to work in a fast-paced, evolving technology environment