Associate Specialist - AI Architect
Free account needed to apply or save. It takes a minute, and we'll bring you right back to this job.
How well do you match this job?
Key details
- Location
- Bengaluru, KA, India
- Work style
- Onsite
- Level
- Mid level
- Job type
- Full-time
- Experience
- 11–14 yrs
- Function
- Software engineering
- Focus area
- AI / ML
- Posted
- 15h ago
Skills
About the role
Job Title: Associate Specialist - AI Architect
Location: Bangalore, India
Experience: 11+ Years
Job Summary
We are seeking an experienced Associate Specialist - AI Architect to lead the design, development, and implementation of enterprise-scale Artificial Intelligence and Generative AI solutions. The ideal candidate will possess deep expertise in AI/ML technologies, cloud platforms, data architecture, and AI governance, with a proven track record of translating business requirements into scalable AI-driven solutions.
Key Responsibilities
- Define and drive the AI architecture strategy aligned with business and technology objectives.
- Design end-to-end AI/ML, Generative AI, and Agentic AI solutions for enterprise applications.
- Architect scalable, secure, and high-performance AI platforms leveraging cloud-native technologies.
- Lead solution design across data ingestion, feature engineering, model development, deployment, monitoring, and MLOps.
- Evaluate and recommend AI frameworks, LLMs, vector databases, orchestration tools, and cloud AI services.
- Design and implement Retrieval-Augmented Generation (RAG), intelligent agents, conversational AI, and knowledge management solutions.
- Ensure compliance with AI governance, security, privacy, and responsible AI principles.
- Collaborate with business stakeholders, product teams, data scientists, engineers, and enterprise architects to deliver innovative solutions.
- Provide technical leadership, architectural guidance, and mentorship to development and AI engineering teams.
- Establish architecture standards, design patterns, and best practices for AI initiatives.
- Conduct architecture reviews, solution assessments, and technology evaluations.
- Support proposal development, client discussions, and solution presentations for AI-led transformations.
Required Skills & Qualifications
- 11+ years of overall IT experience with strong exposure to AI/ML solution architecture.
- Hands-on experience in designing and implementing enterprise AI, Machine Learning, and Generative AI solutions.
- Strong expertise in Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain, or LlamaIndex.
- Experience with Large Language Models (LLMs) including OpenAI, Azure OpenAI, Claude, Gemini, or open-source models.
- Strong understanding of RAG architectures, prompt engineering, vector databases, embeddings, and AI orchestration frameworks.
- Expertise in MLOps/LLMOps practices, model lifecycle management, CI/CD, and AI observability.
- Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
- Knowledge of data engineering concepts, data lakes, distributed processing, APIs, and microservices architecture.
- Strong understanding of AI security, governance, compliance, explainability, and ethical AI practices.
- Excellent stakeholder management, communication, and solution presentation skills.
Preferred Skills
- Experience with Agentic AI frameworks and multi-agent architectures.
- Exposure to Azure AI Foundry, Azure Machine Learning, Databricks, Snowflake, or similar platforms.
- Experience in BFSI, Retail, Healthcare, or Enterprise Digital Transformation projects.
- AI-related certifications from Microsoft, AWS, Google, or equivalent platforms.
- Experience leading architecture reviews and enterprise-scale AI transformation initiatives.
Educational Qualification
- Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.
Key Competencies
- AI Solution Architecture
- Enterprise Architecture
- Generative AI & LLMs
- Machine Learning & Deep Learning
- RAG & Agentic AI
- Cloud Architecture
- MLOps & LLMOps
- AI Governance & Responsible AI
- Technical Leadership
- Stakeholder Management
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.