Principal Agentic AI Engineer (Located in Canada, Spain, Portugal, or Mexico) Job Listing at BMC Software in Canada (Job ID 46479)

Description

CareerArc Code CA-PF Remote: #LI-Remote 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.
Locations: Canada, Spain, Portugal, or Mexico

We are evolving from foundational LLM applications to fully autonomous, agent driven systems. As a Senior Agentic AI Engineer, you will architect and deploy intelligent agents capable of multi-step reasoning, tool use, and independent execution across complex internal workflows. This role offers the chance to work on advanced agent orchestration, real-world integrations, and production-scale AI systems that deliver tangible business impact. 
Here is how, through this exciting role, YOU will contribute to BMC's and your own success: 

• Design & develop autonomous agents: Architect and build advanced agentic AI workflows that go beyond FAQ chatbots, enabling agents to plan multi-step tasks, make decisions, and act autonomously in customer success use-cases.
• Includes developing agents capable of handling complex sequences (e.g. analyzing customer data, initiating follow-ups, updating records) with minimal human intervention.
• Implement and refine multi-agent systems: Enable agents to communicate and delegate tasks to each other (multi-agent orchestration) for complex, cross-functional processes involving multiple enterprise systems.
• Partner with IT and R&D to embed agents: Integrate with platforms such as Microsoft Power Platform and Salesforce Agentforce to execute business processes and interact with CRM databases, internal APIs, and third-party services.
• Lead deployment of agents into production: Orchestrate for scalability and reliability, implementing robust monitoring, logging, and leading AI operations practices (e.g. using tools for tracing agent reasoning and performance) to ensure uptime and quick debugging of issues.
• Develop and optimize RAG pipelines: Incorporate vector databases and embeddings to give agents access to customer data, knowledge base articles, historical interactions and other relevant context during conversations and decision-making.
• Ensure all autonomous agents adhere to AI safety & guardrails: Manage ethical guidelines, safety constraints, and data privacy requirements.
• Serve as the technical expert for AI within the Customer Success organization: Collaborate with product managers and subject-matter experts to translate business processes into AI workflows and agent behaviors.
• Innovation & Strategy: Stay abreast of the latest advancements in AI agent development, including emerging frameworks and tools for autonomous agents. Provide recommendations on new technologies or methodologies that could accelerate agent development. Drive the technical roadmap for incorporating these innovations, ensuring our AI stack remains at the leading edge.

To ensure you're set up for success, you will bring the following skillset & experience:

• 5+ years of professional experience in software engineering or machine learning, including substantial experience (1+ years) building and deploying LLM-powered applications or autonomous agent systems in production.
• Strong programming skills in Python (experience with relevant libraries and frameworks) and software engineering best practices (code review, testing, version control, CI/CD).
• Experience creating and consuming RESTful APIs or microservices for AI-driven applications. Familiarity with devops/MLOps for deploying and maintaining AI models and agents at scale.
• Hands-on experience working with Large Language Models and natural language processing techniques. Direct experience with LLM APIs (e.g., OpenAI GPT-4, Azure OpenAI Service, Anthropic Claude, etc.) and fine-tuning or training custom models is required. Strong grasp of prompt engineering and techniques to guide LLM behavior, as well as understanding of transformer-based model capabilities and limitations (e.g. context window management, tokenization).
• Practical experience building autonomous agents or multi-agent systems using LangChain, Microsoft Semantic Kernel (SK), Salesforce Agentforce, AutoGen, LlamaIndex, ReAct or similar agent development frameworks. Knowledge of how to enable agents to use tools, call APIs, maintain state or memory, and interact with each other (or with humans) to achieve goals is essential.
• Strong understanding of Retrieval-Augmented Generation techniques. Experience integrating vector databases (e.g. Pinecone, Weaviate, Chroma) and embedding models to provide long-term memory and real-time knowledge retrieval for agents. Ability to design efficient data pipelines that feed relevant enterprise data to LLMs/agents securely and with low latency.
• Excellent problem-solving abilities in tackling open-ended AI challenges, such as diagnosing why an agent may be getting stuck in a loop or producing incorrect outputs. Comfort with debugging complex, distributed systems, tracing LLM reasoning steps, and optimizing performance (through caching, prompt tuning, hyperparameter adjustment, etc.).
• Demonstrated ability to work in cross-functional teams. You can translate Customer Success operational needs into technical requirements for AI systems and work closely with non-technical stakeholders (e.g., Customer Success Managers, business analysts) to implement AI solutions that truly address those needs. Strong communication skills to explain AI capabilities and limitations to both technical and non-technical colleagues are important.

#LI-Remote 

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 $135,075 - $225,125

Min salary 135,075 Mid point salary 180,100 Max salary 225,125 Min Salary - NEW 135,075 Max Salary - NEW 225,125

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