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StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
An Automation Engineer with a focus on Agentic Orchestration focuses on seamlessly connecting AI capabilities, including orchestrated agent systems, with existing business processes and enterprise applications. This role will leverage modern AI tools and frameworks to build sophisticated automation solutions and create and configure AI agents to handle complex, non-repetitive tasks that require reasoning, context-awareness, and interaction with multiple systems. Our ultimate goal is to design and deploy autonomous agentic systems that can independently manage and execute complex business processes with a high degree of accuracy and efficiency.
What you'll be doing:- Collaborate with business stakeholders to conduct in-depth analysis of existing workflows, identifying and documenting opportunities for intelligent, AI-driven automation.
- Oversee the entire lifecycle of AI agent development, from initial design and prototyping to testing, deployment, configuration, and lifecycle of AI solutions in production.
- Ensure AI agent development security, scalability, and reliability through ongoing monitoring and performance tuning.
- Design and implement integration solutions to connect AI agents and models with enterprise systems such as CRMs, ERPs, and internal databases.
- Design and implement an evaluation system that serves as a mechanism for quality control and continuous improvement.
- Build and configure AI agents to perform tasks such as natural language understanding, data extraction, decision-making, and system interactions.
- Develop custom connectors, APIs, and middleware to facilitate data exchange and process automation between AI services and other applications.
- Continuously explore and evaluate new AI technologies and tools to drive innovation in automation.
- Mentor system admins and junior developers to build and configure AI Agents.
- Demonstrable experience with AI services from major cloud providers (e.g., OpenAI, Google Vertex AI, AWS Bedrock) and hands-on experience with LLM APIs.
- A solid understanding of business process analysis and re-engineering.
- Solid understanding of Natural Language Processing (NLP), LLMs, and ML principles.
- Experience with enterprise integration platforms (e.g., Workato, MuleSoft, Boomi).Experience with RPA platforms (e.g., UiPath, Automation Anywhere, Blue Prism) is a plus, but the focus is on modern AI-driven automation.
- Hands-on experience with conversational AI platforms and frameworks for building chatbots and virtual assistants.
- Proficiency in Python and its associated AI/ML libraries (e.g., LangChain, LlamaIndex, Pandas, TensorFlow, or PyTorch).
- A solid understanding of embedding processes, vector databases, RAG systems and knowledge graphs.
- Strong understanding of API design principles (REST, RPC, SSE, GraphQL) and data formats (JSON, XML).
- Familiarity with database technologies (SQL and NoSQL).A creative and analytical mindset with passion for solving complex problems through automation.
- Entrepreneurial approach, strong builder with excellent problem-solving skills and the ability to work effectively in a cross-functional team.
- Bachelor's degree in Computer Science, Information Technology, or equivalent practical experience.
The compensation range listed for this role reflects the expected base salary for candidates located in the posting country based on a global rate. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location. We do not ask candidates about current or prior salary history, and we will not use such information, if volunteered, in setting an offer.
This range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package.
Factors Influencing Final Compensation:
- The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications.
- Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer.
- Highly competitive salary
- Retirement/ 401K/ Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
Skills Required
- Demonstrable experience with AI services from major cloud providers such as OpenAI, Google Vertex AI, or AWS Bedrock
- Hands-on experience with LLM APIs
- Understanding of business process analysis and re-engineering
- Understanding of natural language processing, large language models, and machine learning principles
- Experience with enterprise integration platforms such as Workato, MuleSoft, or Boomi
- Hands-on experience with conversational AI platforms and chatbot or virtual assistant frameworks
- Proficiency in Python and AI/ML libraries such as LangChain, LlamaIndex, Pandas, TensorFlow, or PyTorch
- Understanding of embeddings, vector databases, retrieval-augmented generation systems, and knowledge graphs
- Understanding of API design principles including REST, RPC, SSE, and GraphQL
- Knowledge of JSON, XML, SQL, and NoSQL technologies
- Bachelor's degree in Computer Science, Information Technology, or equivalent practical experience
- Experience with RPA platforms such as UiPath, Automation Anywhere, or Blue Prism
What We Do
StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV and audio ads.
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