Your role and responsibilities
As a Forward Deployed Architect, you will serve as a strategic partner to clients, ensuring the successful adoption and scaling of enterprise-level technology. This role involves leading strategic discovery, designing, and architecting production-ready products that meet security, compliance, performance, and ethical standards, while collaborating with clients to deliver solutions.
Your primary responsibilities will include:
• Defining Integration Architecture: Define the integration architecture and data transformation across various end systems, including defining the integration across different lines of business and data pipelines.
• Establishing Data Pipelines: Define a data integration pipeline with data mapping to facilitate solution delivery.
• Integrating Agent Workflows: Perform integration across various agent workflows to produce output for the SDLC, integrating agents, assets, and assistants across various activities.
• Contextual Knowledge Mapping: Create contextual knowledge maps based on actual customer workflows to inform solution design.
• Solution Delivery: Lead the design and architecture of production-ready products that embed advanced capabilities and meet security and ethical standards.
This role can be performed from anywhere in the United States.
Required education
Bachelor's Degree
Required technical and professional expertise
• Enterprise Technology Expertise: Deep expertise in leading strategic discovery, designing, and architecting production-ready products that embed Gen AI and Agentic AI capabilities, meeting security best practices, compliance, performance, and ethical standards.
• Integration Architecture: Experience with defining integration architecture and data transformation across various end systems, including integration across different lines of business and data pipelines.
• Data Pipeline Development: Experience with defining data integration pipelines with data mapping to facilitate solution delivery, ensuring seamless data flow across the solution.
• Agent Workflow Integration: Experience with integrating agent workflows, assets, and assistants across various SDLC activities to produce output for the SDLC.
• Contextual Knowledge Mapping: Experience with creating contextual knowledge maps based on actual customer workflows to inform solution design and drive value-driven delivery.
Preferred technical and professional experience
• Advanced AI Knowledge: Deep expertise in Gen AI and Agentic AI capabilities, as well as experience with advanced Context Engineering, Spec Engineering, and Prompt Engineering.
• Technical Integration Skills: Experience with integration architecture, data transformation, and data pipeline development, including defining integration across various end systems and lines of business.
• SDLC Workflow Expertise: Experience with Agentic SDLC workflows and integrating agents, assets, and assistants across various SDLC activities to produce output for the SDLC.
OTHER RELEVANT JOB DETAILS
IBM 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.
