to design, implement, and optimize operational processes across departments, including our data analytics services and customer success teams. This is a high-impact role focused on
AI orchestration, workflow automation, and human-in-the-loop controls
.
You'll leverage automation frameworks, AI models, and integration tools to drive measurable improvements in accuracy, speed, and scalability. From automating document and data workflows to deploying AI tools and technologies that assist frontline teams, you'll bridge business context with technical execution. Your mission: r
eplace manual effort with intelligent systems
that scale quality and consistency across the organization.
You'll own initiatives end-to-end, turning raw data into information and information into intelligence. From discovery and design through deployment and optimization, you'll ensure every automation is robust, auditable, and aligned with business outcomes.
This role is central to modernizing our operations by implementing robust automation for existing workflows and or processes, as well as developing and deploying context-aware AI solutions to unlock entirely new, intelligent capabilities
###
Key Responsibilities
Partner with business stakeholders to gather requirements and translate them into
end-to-end intelligent automation solutions
Serve as the technical authority in evaluating, selecting, and championing the optimal architectural patterns and integration methods to deliver scalable, reliable, and cost-efficient AI solutions
Translate ambiguous business challenges into clear, conceptual AI solutions, and take full ownership of designing and delivering the technical approach required to solve them.
Design, develop, deploy, and optimize automation pipelines integrating
AI models, APIs, and databases
to eliminate manual steps
Implement
human-in-the-loop
review layers and monitoring systems to ensure reliability and compliance
Document workflows, lead r
equirements-based testing
, and manage
change control
for all deployed automations
Define and track KPIs to measure ROI, accuracy, and efficiency improvements, continuously iterating on performance
Provide hands-on training and support to help stakeholders adopt and evolve automated solutions
###
What We're Looking For
Bring an analytic and strategic mindset to own the technical deliverables of our automation ecosystem, including the documentation of workflows, management of requirements-based testing, and leadership of change control.
Passion for
AI innovation and practical implementation
, especially in using LLMs and automation tools to solve operational problems
Demonstrate a high degree of intellectual curiosity and an 'Art of the Possible' mindset, consistently generating and championing unconventional approaches to solve complex business problems
Strong communication and collaboration skills; able to translate between business needs and technical solutions
Analytical mindset with proven ability to identify bottlenecks and design data-driven automations that create measurable business value
Ability to juggle multiple projects, thrive in ambiguity, and own outcomes end-to-end
Working understanding of
security, data privacy, and guardrails in AI-assisted workflows
Expertise in
prompt engineering
, output validation, and mitigating hallucinations in generative models
Experience integrating
(LangChain, LlamaIndex, OpenAI Function Calling)
+
Scripting
(Python, JavaScript, or TypeScript for automation logic)
+
Data transformation and analytics
(SQL, Python Pandas, or R)
+
AI presentation tools
(Gamma, Beautiful.ai, Tome)
###
What You Bring
2+ years in
process improvement, automation, or business transformation
roles
2+ years implementing
AI-powered automation solutions
or intelligent workflows
2+ years of experience in
data analytics or systems integration
Bachelor's degree in Computer Science, Data Analytics, or a related technical field - or equivalent practical experience
Demonstrated success leading
discovery-to-delivery automation projects
across multiple systems or departments
###
Nice to Have
Experience with
cloud IAM roles
, data-scoped access control, or entity-level permissions
Familiarity with
AI/ML deployment frameworks
(AWS Bedrock, Vertex AI, Azure OpenAI)
Understanding of
containerized automation
(Docker, Kubernetes)
Cloud certifications:
AWS, Azure, or GCP
AI/ML certifications:
Azure AI-900, AWS ML Engineer, or GCP ML Engineer
About Intouch
Intouch Insight is a growing technology and managed services company with headquarters in Ottawa, Canada. We take great pride in the Customer Experience ecosystem we've created, allowing us to be at the forefront of innovation and driving growth for our clients. We have a 25+ year history and a Fortune 1000 customer-base. Our single platform approach allows multiple data sources such as Survey, Checklists, Mystery Shop and Audit data to use our common reporting platform. At our core, we're passionate about helping businesses create experiences to win customers for life.
Intouch Insight provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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