The Solution Architect for AI-Enabled Software Solutions is responsible for designing scalable AI solutions, defining architecture patterns, collaborating with teams to integrate AI models, ensuring compliance and security, leading proof-of-concept developments, and staying updated with AI trends.
Solution Architect – AI-Enabled Software Solutions1
Key Responsibilities:
- Design and architect end-to-end AI-enabled solutions that align with busiess objectives.
- Define scalable, secure, and high-performance architecture patterns for AI-driven applications.
- Collaborate with data scientists, ML engineers, and product teams to integrate AI/ML models into software solutions.
- Select appropriate cloud platforms, frameworks, and AI technologies to optimize performance and cost-efficiency.
- Ensure AI-driven observability, monitoring, and security in solution designs.
- Provide technical leadership, mentoring developers and engineers on AI solution best practices.
- Define and enforce governance, compliance, and security standards for AI-enabled architectures.
- Lead proof-of-concept (PoC) and prototype development to validate AI capabilities.
- Evaluate and recommend third-party AI tools, APIs, and platforms.
- Collaborate with stakeholders, clients, and executive leadership to align AI solutions with business strategy.
- Stay updated with emerging AI trends, cloud advancements, and industry best practices.
Key Qualifications:
- 10+ years of experience in software architecture, with a strong focus on AI-enabled solutions.
- Expertise in AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face, or OpenAI APIs.
- Strong proficiency in on prem (like Linux) and cloud platforms (for example AWS, Azure, GCP) and AI/ML services (SageMaker, Vertex AI, Azure AI).
- Experience with big data processing (example - Spark, Databricks, Kafka) and AI-driven analytics.
- Hands-on experience in designing microservices, APIs, and event-driven architectures.
- Strong understanding of MLOps, CI/CD for AI models, and AI model lifecycle management.
- Experience with AI observability, monitoring, and responsible AI governance.
- Proficiency in programming languages like Python, Java.
- Strong understanding of enterprise security, compliance, and data privacy regulations.
Preferred Skills:
- Knowledge of LLMs, generative AI, and multi-agent AI architectures.
- Experience integrating AI-powered automation and intelligent decision-making into enterprise applications.
- Hands-on experience with AI-driven DevOps, Infrastructure as Code (IaC), and containerization (Docker, Kubernetes).
- Familiarity with Edge AI, federated learning, and hybrid AI deployment models.
Top Skills
Ai/Ml Frameworks
APIs
AWS
Azure
Azure Ai
Big Data Processing
Databricks
Docker
GCP
Hugging Face
Java
Kafka
Kubernetes
Microservices
Openai Apis
Python
PyTorch
Sagemaker
Spark
TensorFlow
Vertex Ai
Jade Global Pune, Mahārāshtra, IND Office
Vadgaon Sheri Road, Nyati Tech Park, 7th Floor, , , Pune, Maharashtra , India, 411014
Jade Global Pune, Mahārāshtra, IND Office
7th Floor M Agile, Baner Road Baner, , , Pune, Maharashtra , India, 411045
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What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
