Your role and responsibilities
As a Forward Deployed Engineer - AI, you will work directly with clients to transform complex business challenges into production-ready AI solutions. Combining software engineering, data science, GenAI, agentic AI, and advanced analytics, you will rapidly prototype, deploy, and scale solutions that deliver measurable business value.
Your primary responsibilities will include:- Solve Client Challenges: Partner with business and technical teams to identify opportunities, define AI use cases, and establish success metrics.
- Build and Deploy AI Solutions: Develop end-to-end GenAI, RAG, and agentic AI applications using tools such as LangGraph, CrewAI, and hyperscaler cloud AI platforms (e.g., AWS, Google, Azure).
- Engineer Agentic and GenAI Systems: Design and implement LLM-powered agents, tool use and orchestration, prompt and context engineering, and evaluation frameworks using platforms such as LangGraph, CrewAI, Vertex AI, Azure AI Foundry, or Amazon Bedrock. Apply guardrails, observability, and testing to ensure accuracy, safety, and reliability.
- Data Engineering and Integrations: Prepare structured and unstructured data and integrate AI solutions with enterprise systems, APIs, and data platforms.
- Scale and Operationalize AI: Apply MLOps/LLMOps, testing, monitoring, and responsible AI practices to ensure solutions are reliable, secure, and production-ready.
- Drive Business Impact: Present insights, demonstrate outcomes, support client adoption, and turn successful solutions into reusable assets for future engagements.
This job can be performed from anywhere in the US.
Required education
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise
- 5+ years of experience in AI/ML, data science, or software engineering, delivering production AI solutions.
- Strong Python and SQL skills, with hands-on experience building GenAI and agentic AI applications, including LLMs, RAG, and multi-step workflows using tools such as LangChain, LangGraph, or CrewAI.
- Hands-on experience building GenAI applications with large language models, including RAG, prompt and context engineering, embeddings and vector databases (e.g., Milvus, Elasticsearch, pgvector, Pinecone), and LLM evaluation.
- Experience designing and building agentic AI workflows using frameworks such as LangChain/LangGraph, CrewAI, AutoGen, including tool calling and multi-step orchestration.
- Experience with machine learning and data processing using tools such as scikit-learn, PyTorch, Pandas, or Spark.
- Experience integrating and deploying AI solutions using APIs (REST/FastAPI), cloud AI platforms (AWS Bedrock, Azure AI, or Google Vertex AI), and tools such as Git, Docker, or Kubernetes.
- Experience with at least one major cloud AI platform (AWS Bedrock, Azure AI Foundry, or Google Vertex AI).
- Strong client-facing skills, with the ability to translate business challenges into technical solutions and communicate with technical and non-technical audiences.
- Demonstrable ability to deploy solutions to production for critical business areas
- Ability to understand business needs and drive technical solutions
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
Preferred technical and professional experience
Master's or PhD in a technical or quantitative field.- Experience with LLM fine-tuning, AI evaluation and governance,
- Industry experience in high tech, electronics or manufacturing.
- Background in forward deployed engineering, solutions engineering, or client-facing consulting.
- Front-end development experience (e.g., React or Streamlit), cloud/AI certifications, or open-source AI contributions.
OTHER RELEVANT JOB DETAILSIBM offers a competitive and comprehensive benefits program. Eligible employees may have access to:
- Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being
- Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs
- Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law
- Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals
- Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences
This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role.
IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
