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Software Engineering, IT, Data Science
Bengaluru, Karnataka, India
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
In this role, you'll work in one of our IBM Consulting FutureNow Centers, where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
As a Technical Consultant specializing in AI Integration, you will play a crucial role in implementing, configuring, and customizing AI-driven solutions that integrate seamlessly into enterprise applications and workflows. You will translate solution designs and architectural blueprints into working systems, ensuring that AI services, APIs, and orchestration layers are deployed securely, efficiently, and in compliance with organizational and regulatory standards. Your primary responsibilities will include: • Implement AI Solutions: Develop and deploy AI-driven solutions, translating architectural blueprints into working systems that meet organizational and regulatory standards. This involves configuring AI services, APIs, and orchestration layers to ensure seamless integration with enterprise applications and workflows. • Collaborate with Stakeholders: Work closely with architects, data engineers, and business stakeholders to validate requirements, deliver proofs of concept, and harden solutions for production. This requires effective communication and collaboration to ensure that solutions meet business needs and are delivered on time. • Develop Connectors and Pipelines: Design and develop connectors, build Retrieval-Augmented Generation (RAG) pipelines, and configure prompts and guardrails to support AI-driven solutions. This involves applying technical expertise to ensure that solutions are scalable, reliable, and efficient. • Optimize Performance: Implement observability, performance tuning, and cost optimization measures to ensure that AI-driven solutions operate efficiently and effectively. This requires ongoing monitoring and analysis to identify areas for improvement. • Ensure Compliance: Ensure that AI services, APIs, and orchestration layers are deployed securely and in compliance with organizational and regulatory standards. This involves applying knowledge of security and regulatory requirements to mitigate risks and ensure compliance.
• AI Solution Implementation: Experience with developing and deploying AI-driven solutions, translating architectural blueprints into working systems that meet organizational and regulatory standards. • API Integration and Orchestration: Experience in configuring AI services, APIs, and orchestration layers to ensure seamless integration with enterprise applications and workflows. • Workflow Automation and LLMOps: Experience with workflow automation and LLMOps practices, focusing on reliability, scalability, and responsible AI principles throughout the delivery lifecycle. • Event-Driven Patterns and RAG Pipelines: Experience in designing and developing connectors, building Retrieval-Augmented Generation (RAG) pipelines, and configuring prompts and guardrails to support AI-driven solutions. • Security and Compliance: Experience in deploying AI services, APIs, and orchestration layers securely and in compliance with organizational and regulatory standards.
• Strong Hands-on Expertise in API Integration: Experience with API integration, event-driven patterns, and workflow automation, with a focus on reliability, scalability, and responsible AI principles throughout the delivery lifecycle. • Knowledge of LLMOps Practices: Experience with workflow automation and LLMOps practices, focusing on reliability, scalability, and responsible AI principles throughout the delivery lifecycle. • Familiarity with Retrieval-Augmented Generation (RAG) Pipelines: Experience in designing and developing connectors, building RAG pipelines, and configuring prompts and guardrails to support AI-driven solutions.
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
When applying to jobs of your interest, we recommend that you do so for those that match your experience and expertise. Our recruiters advise that you apply to not more than 3 roles in a year for the best candidate experience. For additional information about location requirements, please discuss with the recruiter following submission of your application.