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AI Engineer

AT IBM
IBM

AI Engineer

Hyderabad, India

Introduction

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Your role and responsibilities

AI Engineer - Partner Ecosystem: Roles and Responsibilities
An AI Engineer focused on the partner ecosystem works at the intersection of artificial intelligence (AI), business partnerships, and technical enablement. This role is responsible for driving AI adoption, enabling partners with AI tools, and collaborating on AI-driven solutions. Below are the key responsibilities:

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1. Partner Enablement & AI Adoption
  • Educate partners on AI technologies, frameworks, and best practices.
  • Conduct workshops, webinars, and training sessions to upskill partners on AI models and tools.
  • Provide technical guidance and resources to help partners integrate AI into their solutions.
  • Support partners in understanding AI/ML development, deployment, and optimization.
2. AI Solution Development & Integration
  • Collaborate with partners to design, develop, and implement AI-powered solutions.
  • Assist partners in integrating AI models (e.g., machine learning, NLP, computer vision) into their products.
  • Support the customization of AI models for partner use cases.
  • Ensure scalability, security, and efficiency in AI deployments within partner ecosystems.
3. Technical Support & Troubleshooting
  • Provide hands-on technical support for partners during AI development and deployment.
  • Troubleshoot AI-related issues, ensuring smooth integration with partner platforms.
  • Work closely with internal AI teams to address partner challenges.
4. Collaboration & Relationship Management
  • Build and maintain strong relationships with technology and business partners.
  • Act as a bridge between internal AI teams and external partners.
  • Gather feedback from partners and relay insights to improve AI offerings.
  • Align AI solutions with partner business objectives and industry trends.
5. AI Research & Innovation
  • Stay updated on the latest AI trends, tools, and best practices.
  • Experiment with emerging AI models and frameworks to provide innovative solutions for partners.
  • Collaborate with AI researchers and developers to enhance AI capabilities.
6. Compliance, Ethics & Responsible AI
  • Ensure AI solutions comply with ethical AI principles and industry regulations.
  • Advise partners on AI governance, data privacy, and compliance requirements.
  • Promote fairness, transparency, and accountability in AI deployments.

Required education

Bachelor's Degree

Preferred education

Bachelor's Degree

Required technical and professional expertise

AI & Machine Learning Frameworks
Proficiency in AI/ML libraries
Experience working with large-scale AI models (e.g., LLMs, generative AI, reinforcement learning).
Knowledge of edge AI and AI model optimization for different deployment environments.
Programming & Development Skills
Strong coding skills in Python
Experience with AI-driven APIs and SDKs for partner integrations. Knowledge of DevOps/MLOps pipelines, CI/CD for AI, and automation tools.

Experience with AI/ML services from major cloud providers:Familiarity with Kubernetes, Docker, and serverless AI deployments.
4. Data Engineering & AI Infrastructure
Knowledge of big data processing frameworks (Apache Spark, Hadoop, Databricks).
Experience with data pipelines, feature engineering, and model training at scale.
Understanding of database technologies (SQL, NoSQL, GraphDBs).
5. AI Analytics & Monitoring
Familiarity with AI observability and monitoring tools (
Experience in model explainability and AI performance tuning.

Preferred technical and professional experience

  • Strong experience in AI/ML, deep learning, and data science including Generative AI
  • Proficiency in Python, TensorFlow, PyTorch, or other AI frameworks.
  • Knowledge of cloud AI services
  • Experience with MLOps, AI deployment, and model optimization.
  • Excellent communication and technical enablement skills.
  • Ability to work cross-functionally with internal teams and external partners.

ABOUT BUSINESS UNIT

IBM has a global presence, operating in more than 175 countries with a broad-based geographic distribution of revenue. The company's Global Markets organization is a strategic sales business unit that manages IBM's global footprint, working closely with dedicated country-based operating units to serve clients locally. These country teams have client relationship managers who lead integrated teams of consultants, solution specialists and delivery professionals to enable clients' growth and innovation. By complementing local expertise with global experience and digital capabilities, IBM builds deep and broad-based client relationships. This local management focus fosters speed in supporting clients, addressing new markets and making investments in emerging opportunities. Additionally, the Global Markets organization serves clients with expertise in their industry as well as through the products and services that IBM and partners supply. IBM is also expanding its reach to new and existing clients through digital marketplaces.

YOUR LIFE @ IBM

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?

ABOUT IBM

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 50 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.

OTHER RELEVANT JOB DETAILS

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.

Client-provided location(s): Hyderabad, Telangana, India
Job ID: IBM-20122
Employment Type: Other

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