About the Role

We are looking for an experienced and forward-thinking AI/ML Solution Architect to lead the design, development, and implementation of intelligent solutions across web, mobile, and enterprise platforms. In this role, you’ll apply your expertise in AI/ML, Natural Language Processing (NLP), and cloud platforms to build scalable and innovative solutions that solve real-world business challenges.

You’ll work at the intersection of technology and strategy - collaborating with cross-functional teams to define architecture, experiment with cutting-edge tools, and mentor others along the way.

Key Responsibilities

• Solution Design: Architect scalable and robust AI/ML systems by integrating software engineering best practices with modern AI technologies.
• AI Assistant Development: Build and integrate AI virtual assistants using platforms such as Google Dialogflow, OpenAI GPT, and Azure Bot Services.
• Cloud Expertise: Leverage Google Cloud Platform services (including serverless compute, Cloud Firestore, and AI APIs) for scalable model deployment.
• Model Lifecycle Management: Design, train, evaluate, deploy, and version ML models -particularly with TensorFlow - for use cases including NLP and computer vision.
• Image & Text Processing: Implement solutions using tools like OpenCV for image analysis and NLP libraries for sentiment analysis, NER, and text classification.
• Rapid Prototyping: Experiment with new ML architectures and validate approaches through agile prototyping and testing.
• Collaboration: Translate business requirements into AI/ML deliverables by working closely with product managers, engineers, and data scientists.
• Mentorship & Leadership: Guide junior engineers and data professionals, promoting a culture of continuous learning and technical excellence.
• Innovation-Driven Development: Continuously explore emerging technologies in AI, machine learning, and LLM ecosystems, applying them to practical use cases.

Required Qualifications

• 8+ years of professional experience in software development or architecture
• At least 2+ years of hands-on experience in AI/ML, NLP, or Data Science projects
• Strong experience designing and implementing AI-powered solutions in production
• Proficiency with Python (essential); familiarity with .NET is a plus
• Experience building and deploying models using TensorFlow or similar frameworks
• Practical experience with cloud services, especially GCP and Azure
• Familiarity with serverless architectures (Google Cloud Functions, Azure Functions)
• Experience with data synchronization tools like Firebase Cloud Firestore
• Hands-on expertise in computer vision or image analysis using OpenCV or similar

Preferred Skills & Attributes

• Experience in product-based environments or working on SaaS platforms
• Strong background in open-source large language models (LLMs) and NLP
• Familiarity with CI/CD practices and MLOps pipelines
• Ability to simplify complex AI concepts for technical and non-technical stakeholders
• Passion for experimentation, research, and learning emerging technologies
• Strong problem-solving and architectural decision-making skills
• Excellent verbal and written communication skills

Soft Skills

• Empathy-driven leadership and team collaboration
• Growth mindset and eagerness to innovate
• Ability to manage ambiguity and drive solutions in complex projects
• Proactive communication and stakeholder engagement