Lead Consultant - AI Architect at AstraZeneca
Role Type: Full-Time Recruitment
Year: 2026
🛠️ Key Skills Required
📌 Hiring Details
AstraZeneca is hiring talented professionals for the position of Lead Consultant - AI Architect in India - Bangalore. This opportunity is ideal for candidates looking to build a strong career in the IT industry in 2026. Applicants should carefully review the eligibility criteria, required skills, and selection process before applying online.
The recruitment drive for 2026 offers a great chance for job seekers to join a reputed organization. Make sure to prepare well for the interview and submit your application before the deadline. Read below for full details on how to apply, educational qualifications, and other important instructions.
💡 Candidate Insights
If you’re dreaming big in India’s tech landscape, you’re in the right place! AstraZeneca, a global powerhouse in the pharmaceutical and healthcare sector, is looking to elevate its future with a bold move—hiring a Lead Consultant in AI Architecture based right here in Bangalore. For young tech professionals and freshers eager to make waves, this role offers a fantastic chance to be at the forefront of innovation, shaping the next wave of digital solutions. As a Lead Consultant, your responsibilities will extend beyond code and architecture; you’ll be driving cutting-edge AI strategies that impact lives and industries across the country. The city of Bangalore, with its vibrant ecosystem and endless opportunities, is the perfect place to launch your career. Whether you’re just starting or aiming for the top, this position promises not just growth but real-world impact. So applaud the call—India’s next tech leader is calling, and it’s open to you! This post is crafted to resonate with Indian IT enthusiasts, highlighting AstraZeneca’s ambitious vision, the exciting role for recruiters, and Bangalore’s thriving environment—all wrapped in a catchy, relatable tone.
✅ Why Apply at AstraZeneca?
- AstraZeneca is a global leader with a strong reputation in innovation, offering top-tier growth opportunities.
- As a Lead Consultant - AI Architect, you’ll be part of a dynamic team driving cutting-edge technology solutions.
- The role comes with attractive compensation packages, making it a steal for your career growth.
- With a vibrant ecosystem in Bangalore, you’ll have access to incredible learning and collaboration.
📋 Job Requirements & Description
Job Title: Lead Consultant - AI Architect
Career Level: E
Introduction to role:
Are you ready to architect agentic AI at enterprise scale and turn enterprise data into decisions that accelerate life-changing medicines to patients? Do you want to help us set the standards and platforms that make AI secure, interoperable, and fast to deliver across a global organization?
In this role, you will define the enterprise architecture for agentic AI, foundation models, and the Model Context Protocol, helping us scale platforms and enable innovative AI products across teams. You will connect strategy to execution by crafting tailored solutions using Amazon Web Services, OpenAI, Databricks, Amazon Bedrock, Amazon Q, SageMaker, Landing AI, and emerging technologies—ensuring alignment with data strategy and pharmaceutical regulations while unlocking measurable business value.
You will collaborate with research, governance, engineering, and product teams as we deliver AI capabilities that are responsible by design. From first use case to production scale, you will establish repeatable patterns. You will reduce friction and build the technical backbone. This backbone powers self-directed processes, inquisitive data products, and knowledge systems.
Accountabilities:
Define enterprise AI architecture strategy aligned to our business and R&D priorities; set roadmaps that scale across domains and deliver measurable outcomes.
Lead architecture for agentic AI, multi-agent orchestration, and foundation models (LLMs, multimodal), enabling autonomous workflows and intelligent operations.
Establish reference architectures and standards across open-source and commercial AI platforms to drive secure, compliant, and repeatable delivery.
Advance adoption of MCP to improve interoperability and context management across agents, applications, and data products.
Scalable AI Platforms: Design scalable platforms across AWS, OpenAI, Databricks, and hybrid environments; ensure elasticity, reliability, and cost control.
Support the full lifecycle from use case and MVP through deployment, optimization, monitoring, and continuous improvement.
Architect RAG, vector databases, knowledge systems, and graph services to unlock enterprise knowledge and accelerate decision-making.
Responsible AI, Governance, and Risk: Translate emerging regulations into clear standards and controls; partner with security and risk leaders to mitigate threats such as data poisoning, model theft, and adversarial attacks.
Work across business, data, and engineering teams to align initiatives; turn partner insights into scalable solutions linked to our business outcomes.
Partner with data scientists and AI specialists to identify and pilot important use cases. Assess feasibility with interested parties. Challenge initiatives that do not align or are unfeasible.
Delivery Alignment: Gather input from business users, data scientists, security teams, data engineers, analysts, and operations; translate strategy into practical solutions that scale.
Technology Selection and Deployment Models: Define AI architectures and select fit-for-purpose technologies spanning both open-source projects and commercial solutions; recommend cloud, on-premises, or hybrid models; ensure integration with data, analytics, and enterprise platforms.
Continuous Improvement and MLOps: Evaluate tools and practices across data, models, and software engineering; establish feedback loops; measure performance; support recalibration and retraining.
Architecture and Pipeline Planning: Apply deep understanding of ML and deep learning workflows and trade-offs across data management, governance, model development, deployment, and production operations.
Engineering Excellence: Champion modern software engineering and DevOps practices including Git, containers, Kubernetes, and CI/CD to accelerate delivery while improving reliability.
Deliver conceptual and logical models for autonomous workflows, intelligent data products, and operations led by automated agents. Develop agentic data pipelines, real-time information flows, knowledge graphs, and metadata for adaptive, self-governing capabilities.
Business Partnership and Strategy Evolution: Partner with business leaders to evolve AI designs in line with strategy; own AI designs for large or complex capability domains.
Transformation Program Leadership: Take accountability for enterprise architecture in major transformation programs; produce and review blueprints to keep change initiatives aligned.
Data Governance Integration: Collaborate with Data Offices to embed governance into builds; provide assurance via standard metrics such as master data usage and data classification metadata.
Patterns for Analytics and Digital: Select or define architectures and patterns supporting reporting, analytics, data science, digital, and operational use cases.
Strategic and Tactical Architecture Support: Provide planning, design expertise, and delivery support including technical designs, technology standards, models, and enterprise considerations.
Integration Architecture: Support or lead development of AI integration architecture and end-to-end data integration designs for projects.
Standards and Approvals: Secure approval for AI artifacts; implement standard enterprise data element names, abbreviations, characteristics, and domains throughout the project lifecycle.
Work Package and Demand Management: Define and handle work packages for teams and flexible resources; plan demand and recharge for AI and technology projects and programs in partnership with practice leads and project managers.
Essential Skills/Experience:
Bachelor’s degree, or equivalent experience, in data science, AI engineering, or a related field.
Hands on experience leading enterprise AI platform architecture and translating architectural concepts into practical solutions.
Experience with conceptual and logical data modelling techniques and tools.
Experience defining and applying information and data governance standards in regulated environments.
Brings a good mix of data and information architecture, analysis, and engineering expertise.
Experience with established IT architecture patterns, methodologies, and AI platforms such as Amazon Bedrock, Amazon Q, SageMaker, Azure AI, and Google Cloud AI.
Solid understanding of AI platform concepts and cloud-based containerization strategies for hybrid environments.
Able to select the right AI architecture and technologies based on business use cases, with a good understanding of the full AI lifecycle.
Desirable Skills/Experience:
Postgraduate degree or equivalent experience in MIS, AI, data science, or a related field.
Extensive experience in senior AI, data science, data engineering, and AI architecture roles, with a proven track record of designing and delivering end-to-end and point architecture blueprints for large-scale, real-world use cases.
Experience applying AI and data governance frameworks within a commercial organisation.
Experience in Agile AI delivery and definition scrums.
Experience using tools such as metadata cataloguing, data modelling, and enterprise architecture platforms.
Hands-on experience building AI models, including LLMs and LVMs, working across diverse data types to deliver accurate and reliable outcomes.
Experience working in the pharmaceutical AI industry.
Experience in AI architecture, pipeline planning, and deploying production workflows for AI models.
Ability to simplify the enterprise landscape and reduce technology debt.
Why AstraZeneca:
Join a technology-forward organization at a pivotal moment, where bold investment in digital and data is transforming how we discover, develop, and deliver medicines. Your work will have direct impact on patients as we empower scientists and business teams with AI, data, and modern platforms. Here, we bring unexpected teams into the same room to unleash bold thinking, hands-on experimentation through events like hackathons, and a culture that values kindness alongside ambition. We combine modern science with leading digital capabilities, scale responsibly, and give you the freedom and support to shape your path while driving enterprise-wide change.
Call to Action:
If you’re ready to architect the AI platforms and patterns that move medicines faster to patients, step into this role and help us build the next chapter today!
Date Posted
24-Jun-2026Closing Date
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
🚀 Why Lead Consultant - AI Architect is a Strategic Career Move in 2026
Joining AstraZeneca as a Lead Consultant - AI Architect offers excellent growth prospects. Here's why this role is trending:
- Companies are aggressively hiring for AI/ML roles in Bangalore and Hyderabad.
- Data Science is labeled the 'Sexiest Job of the 21st Century'.
Industry Insight: Data Scientist roles in India - Bangalore are currently seeing high demand.
🎯 How to Prepare for Lead Consultant - AI Architect Role
To crack the interview at AstraZeneca, focus on the following:
- Work on real-world datasets from Kaggle to showcase your skills.
- Master Python libraries: Pandas, NumPy, Scikit-learn, and TensorFlow.
- Brush up on Statistics and Probability theory.
🔗 Important Links & Apply
💡 AI-Powered Interview Tips for Lead Consultant - AI Architect
- 🚀 Prepare your case studies with real projects!
- 🔍 Show your passion for AI innovation and collaboration.
- 💡 Bring examples of how you’ve solved complex challenges in India!
🎯 Final Thoughts
If you're ready to take your career to the next level at the cutting-edge of AI at AstraZeneca, then this Lead Consultant - AI Architect position is your perfect fit! The chance to shape the future of technology and solve complex challenges is incredibly exciting. With the right expertise and passion, you can make a real impact in this dynamic role. Don't miss this opportunity—apply now and kickstart your career! Apply today and let's build something amazing together!
Kishan Prajapati
Career Researcher & IT Industry Analyst. Helping freshers and professionals find verified private IT job opportunities in India.
