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Introduction

Joining the IBM Technology Expert Labs teams means you'll have a career delivering world-class services for our clients. As the ultimate expert in IBM products, you'll bring together all the necessary technology and services to help customers solve their most challenging problems. Working in IBM Technology Expert Labs means accelerating the time to value confidently and ensuring speed and insight while our clients focus on what they do best—running and growing their business.

Excellent onboarding and industry-leading learning culture will set you up for a positive impact, while advancing your career. Our culture is collaborative and experiential. As part of a team, you will be surrounded by bright minds and keen co-creators—always willing to help and be helped—as you apply passion to work that will positively impact the world around us.

Your role and responsibilities

As a Delivery Consultant, you will work closely with IBM clients and partners to design, deliver, and optimize IBM Technology solutions that align with your clients' goals. In this role, you will apply your technical expertise to ensure world-class delivery while leveraging your consultative skills such as problem-solving issue- / hypothesis-based methodologies, communication, and service orientation skills. As a member of IBM Technology Expert Labs, a team that is client focused, courageous, pragmatic, and technical, you'll collaborate with clients to optimize and trailblaze new solutions that address real business challenges.

If you are passionate about success with both your career and solving clients' business challenges, this role is for you. To help achieve this win-win outcome, a 'day-in-the-life' of this opportunity may include, but not be limited to…

• Solving Client Challenges Effectively: Understanding clients' main challenges and developing solutions that help them reach true business value by working thru the phases of design, development integration, implementation, migration and product support with a sense of urgency.
• Agile Planning and Execution: Creating and executing agile plans where you are responsible for installing and provisioning assets, testing, migrating to production, and day-two operations.
• Technical Solution Workshops: Conducting and participating in technical solution workshops.
• Building Effective Relationships: Developing successful relationships at all levels —from engineers to CxOs—with experience of navigating challenging debate to reach healthy resolutions.
• Self-Motivated Problem Solver: Demonstrating a natural bias towards self-motivation, curiosity, initiative in addition to navigating data and people to find answers and present solutions.
• Collaboration and Communication: Strong collaboration and communication skills as you work across the client, partner, and IBM team.

Please refer that this position is 1 year Fixed Term Hires.

Required education

Bachelor's Degree

Required technical and professional expertise

• Expertise in Data and AI Technology: Experience with building creditability for Data and AI methodology and practices for data management, data fabric, data governance, trustworthy AI and business analytics or equivalent enterprise solutions.

· The ideal candidate will have a data science background and experience including but not limited to identify use cases, building and validating models, deployment models via APIs, monitoring and retaining models and creating Machine Learning pipelines and train modules.

· Background in several areas including:

- Computer Science,

- Programming

- Probability and Statistics

- Big Data and Machine Learning

· Communication & Consulting Skills

- Client-facing communication: experience running client workshops,

requirements gathering sessions, and technical solution presentations.

- Ability to communicate technical concepts to non-technical stakeholders.

- Strong problem-solving, knowledge transfer and documentation skills.

· At least 6 years of experience in technical customer-facing roles

· AI/ML + Generative AI Experience

o Hands-on experience delivering AI/ML and Generative AI (GenAI) solutions into production

o Experience building LLM-based applications:

§ Prompt engineering

§ RAG (Retrieval-Augmented Generation)

§ Vector databases / embeddings

· Strong proficiency in Python including ML, NLP, and GenAI frameworks

o LangChain, LangGraph, LlamaIndex, IBM watsonx.ai, HuggingFace

· Cloud Native & OpenShift (GenAI Deploy Environment)

o Experience deploying AI/LLM services on Kubernetes or Red Hat OpenShift

o Understanding of containerized AI workloads:

§ GPU scheduling

§ Scaling LLM inference workloads

§ Model-serving frameworks (vLLM, TGI..)

o Experience operating hybrid cloud environments (on-prem + cloud)

Preferred technical and professional experience

• Expertise in Data and IT Technologies: Deep expertise requires an expert technical level in data and IT software technologies including several technology areas including IBM Cloud Pak for Data, Red Hat OpenShift, IBM Db2, COGNOS, IBM Watson Studio and related AI frameworks or equivalent enterprise solutions.

· Experience in programming in at least two of the following Python, R, Scala or Java. preference for Python Expert

· Experience in Machine Learning pipeline - data ingestion, feature engineering, modeling including ensemble methods, predicting, explaining, deploying and diagnosing over fitting

· Experience in model selection and sampling

· Experience in deep learning and neural nets

· Enterprise Architecture

o Experience designing HA/DR architectures, networking, storage, and TLS.

o Hybrid multi cloud architecture experience (on-prem + AWS/Azure/GCP/IBM Cloud).

· Industry Experience

o Experience in financial services, public sector, manufacturing, or telecom.

o Delivery experience with real-world AI use cases (forecasting, fraud detection, NLP chatbot, recommendation systems).

· Generative AI Use Case Delivery

o Experience delivering enterprise GenAI solutions such as:

§ Document summarization

§ Conversational AI / chatbots

§ Enterprise search + RAG

§ Code generation / test automation

§ Knowledge management systems

o Experience generating ROI-focused AI delivery outcomes