StackAdapt Logo

StackAdapt

Automation Engineer, Agentic Orchestration

Posted 6 Days Ago
Be an Early Applicant
Canada
Mid level
Canada
Mid level
The Automation Engineer will enhance AI-driven automation by connecting AI agent systems with business applications, while overseeing the development and integration of AI solutions across enterprise systems.
The summary above was generated by AI

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.
What you’ll bring to the table:
  • 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.
StackAdapter's Enjoy:
  • Highly competitive salary
  • Retirement/ 401K/ Pension Savings globally
  • Competitive Paid time off packages including birthday's off!
  • Access to a comprehensive mental health care platform
  • 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!
StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.
 
About StackAdapt
 
We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:
 
Ad Age Best Places to Work 2024
G2 Top Software and Top Marketing and Advertising Product for 2024
Campaign’s Best Places to Work 2023 for the UK
2024 Best Workplaces for Women and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
 
#LI-REMOTE

Top Skills

Aws Bedrock
Google Vertex Ai
GraphQL
JSON
Langchain
Llamaindex
NoSQL
Openai
Pandas
Python
PyTorch
Rest
Rpc
SQL
Sse
TensorFlow
XML

Similar Jobs

22 Minutes Ago
Hybrid
Markham, ON, CAN
Entry level
Entry level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The role involves designing and executing software tests for automated driving software, analyzing test data, collaborating in Agile teams, and contributing to continuous improvement initiatives.
Top Skills: C/C++JenkinsMatlabPythonRobot FrameworkSimulink
2 Hours Ago
Easy Apply
Remote or Hybrid
Canada
Easy Apply
Senior level
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
The Implementation Consultant ensures successful deployment and adoption of IoT solutions for mid-market customers, enhancing their operational efficiency and safety through effective engagement and training.
Top Skills: IotSaaS
2 Hours Ago
Easy Apply
Hybrid
Toronto, ON, CAN
Easy Apply
Senior level
Senior level
Marketing Tech • Mobile • Software
Design, implement, and improve modular components in a machine learning product. Collaborate with teams, customers, and apply Python expertise in a cloud environment.
Top Skills: AirflowBigQueryFastapiGCPIbisKubernetesPolarsPysparkPythonSQLTerraform

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account