Job description

BMC empowers nearly 80% of the Forbes Global 100 to accelerate business value, faster than humanly possible. Our industry-leading portfolio unlocks human and machine potential to drive business growth, innovation, and sustainable success. BMC does this in a simple and optimized way by connecting people, systems, and data that power the world’s largest organizations so they can seize a competitive advantage. At BMC, we don’t do ordinary. Across BMC, our AI teams are building the next generation of agentic AI, capabilities that help enterprises run their most critical systems faster, more resiliently, and with confidence. Our agentic AI empowers autonomous agents to detect, diagnose, and help resolve complex problems with speed, accountability, and human oversight. We’re not hiring for roles; we’re hiring for impact. You’ll solve hard problems, build smart solutions, and work with people who challenge and champion you, and see your work make a difference for customers running mission-critical systems. You work directly with customers to develop, customize, and deploy BMC’s agentic AI in real operational environments. Combining hands-on software engineering with domain understanding and close collaboration with end users, you turn product capabilities into working, valued solutions and feed field learning back into the product. Here is how, through this role, you will contribute to BMC’s and your own success: • Deploy, configure, and customize BMC’s agentic AI in customer environments (on-prem, hyperscaler, or OpenShift), ensuring value from Day 1. • Take ownership of features and integrations end-to-end, even when requirements are incomplete or evolving. • Build integrations with customer systems and cloud platforms (AWS, Azure, GCP). • Support proofs-of-concept and pilots end-to-end; resolve technical and business blockers; keep stakeholders informed. • Work directly with customers across regions/time zones, with travel as required. • Act as a trusted technical advisor on agentic-AI adoption with human-in-the-loop, governed approaches. • Bring field learnings back to product and engineering based on real usage. • Contribute pragmatic engineering standards — CI/CD, automated testing, and DevOps practices. • Define repeatable deployment, integration, and value-realization patterns across customers. • Lead complex/strategic accounts technically; escalate systemic product gaps with prioritization. • Coach and raise the bar for the acceleration engineering practice. • Align Product, Engineering, Security, and Customer teams on shared field standards. To ensure you’re set up for success, you will bring the following skillset & experience: • Typically 8–13 years of relevant experience • Bachelor’s or Master’s in Computer Science, Engineering, or related field (or equivalent experience). • Python and software-engineering fundamentals; LLM/RAG/agents/prompt engineering literacy (depth scales with level). • Enterprise systems/API integration; cloud platforms (AWS, Azure, GCP). • Containers/orchestration (Docker, Kubernetes, OpenShift) and CI/CD as level requires. • Excellent verbal and written communication; customer comfort scales with level. • Rapid prototyping and ownership; willingness to travel as needed. • Multi-engagement or multi-team adoption of practices you led. • Sets delivery standards for customer engineering, not only excels on one account. • Balances customization pressure with productized, supportable solutions. Whilst these are nice to have, our team can help you develop in the following skills: • Customer, on-prem, or air-gapped deployments. • Presales, solutions-engineering, or professional-services experience. • Domain exposure relevant to the hiring team; Agile/Atlassian. Our commitment to you! BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU! If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas! BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page. BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. The annual base salary range represents the low and high end of the BMC salary range for this position. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs. The range listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. At BMC, it is not typical for an individual to be hired at /near the top of the range. A reasonable estimate of the current range is $152,850 - $254,750

Requirements

Must-haves

Here is how, through this role, you will contribute to BMC’s and your own success:
Deploy, configure, and customize BMC’s agentic AI in customer environments (on-prem, hyperscaler, or OpenShift), ensuring value from Day 1.
Take ownership of features and integrations end-to-end, even when requirements are incomplete or evolving.
Build integrations with customer systems and cloud platforms (AWS, Azure, GCP).
Support proofs-of-concept and pilots end-to-end; resolve technical and business blockers; keep stakeholders informed.
Work directly with customers across regions/time zones, with travel as required.
Act as a trusted technical advisor on agentic-AI adoption with human-in-the-loop, governed approaches.
Bring field learnings back to product and engineering based on real usage.
Contribute pragmatic engineering standards — CI/CD, automated testing, and DevOps practices.
Define repeatable deployment, integration, and value-realization patterns across customers.
Lead complex/strategic accounts technically; escalate systemic product gaps with prioritization.
Coach and raise the bar for the acceleration engineering practice.
Align Product, Engineering, Security, and Customer teams on shared field standards.
To ensure you’re set up for success, you will bring the following skillset & experience:
Typically 8–13 years of relevant experience
Bachelor’s or Master’s in Computer Science, Engineering, or related field (or equivalent experience).
Python and software-engineering fundamentals; LLM/RAG/agents/prompt engineering literacy (depth scales with level).
Enterprise systems/API integration; cloud platforms (AWS, Azure, GCP).
Containers/orchestration (Docker, Kubernetes, OpenShift) and CI/CD as level requires.
Excellent verbal and written communication; customer comfort scales with level.
Rapid prototyping and ownership; willingness to travel as needed.
Multi-engagement or multi-team adoption of practices you led.
Sets delivery standards for customer engineering, not only excels on one account.

Nice-to-haves

Whilst these are nice to have, our team can help you develop in the following skills:

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiawsazuregcpci/cdpythonllmapidockerkubernetesagile

Platform: avature
Effort: medium