Role Overview
Ciklum is hiring a Senior Artificial Intelligence/Machine Learning Engineer. This is a full-time role in CA. Part of Ciklum's Security hiring, posted 5 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team full-time inin Canada.
We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.
About the role
As a Senior Artificial Intelligence/Machine Learning Engineer, become a part of a cross-functional development team, engineering experiences of tomorrow.
We are placing senior AI engineers to design and deliver production agentic AI systems for an enterprise client.
Responsibilities
- You will build autonomous agents on the client’s existing enterprise AI stack
- Glean is the agent platform and OpenAI / GPT Enterprise provides the reasoning layer, deployed on AWS or GCP. This is hands-on build work
- You own agents from design through production, monitoring, and iteration
- You approach agents as production software
- You work in terms of triggers, retrieval, reasoning steps, actions, permissions, evaluation, and observability, and you know how to make an agent reliable, secure, and maintainable at enterprise scale
- Build for maintainability. You favor configuration over custom code and shared services over one-offs, and you keep the bespoke surface area small
- Security and governance by default. You handle credentials, permissions, and sensitive data correctly without being prompted, and you design for audit from the start
- Pragmatic and scale-aware. You design around real platform limits such as tool-call budgets, payload caps, and rate limits before they become production problems
- Client-ready communication. You can explain an architecture decision to a technical buyer, defend it under questioning, and write clearly
Requirements
- 3+ years building with LLMs in production systems that real users depend on
- Hands-on experience designing agentic workflows: tool and function calling, retrieval-augmented generation (RAG), multi-step orchestration, and memory
- OpenAI / GPT Enterprise. Deep practical experience with the OpenAI API and GPT Enterprise: model selection, prompt engineering, structured outputs, function calling, cost and latency tuning, and data-handling controls
- Strong prompt-engineering discipline and an evaluation-first approach. You measure agent quality with evals rather than by inspection
- Glean is required. Direct, hands-on production experience with the Glean platform: Agent Builder, Apps, Actions, Model Hub, connectors, and permission-aware retrieval. This is a non-negotiable requirement for the role
- Working knowledge of enterprise search and RAG architecture on Glean: indexing, connectors, retrieval quality, and runtime permission enforcement
Cloud and Engineering:
- AWS and / or GCP. Production experience deploying and operating services on at least one, with comfort across both preferred. IAM, secrets management, networking, and cost awareness
- Strong software engineering fundamentals in Python or equivalent: clean, tested, maintainable code, API design, CI/CD, and version control
- Experience integrating enterprise SaaS systems through API (for example Jira, Slack, Google Workspace, ticketing and GRC tools), including auth flows and webhook and event patterns
- Data engineering competence: moving and transforming data between systems, working with warehouses, and handling sensitive data securely
Desirable:
- Experience locking down and governing enterprise tools, including controlled intake, permission models, and audit trails
- Familiarity with observability and incident response for AI systems: monitoring drift, alerting, and root-cause analysis
- Exposure to regulated or finance and accounting environments where auditability and data governance matter
- Prior consulting or client-facing delivery experience and comfort working embedded with a client’s teams
What`s in it for you?
- Strong community: Work alongside top professionals in a friendly, open-door environment
- Growth focus: Take on large-scale projects with a global impact and expand your expertise
- Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
- Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
- Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company’s Benefit Plans
About us
At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. Now expanding across Canada, we’re looking for talented professionals to strengthen our North American footprint. Join us to innovate at scale and deliver world-class solutions to global clients.
Explore, empower, engineer with Ciklum!
Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.
#LI-VH1
REQUIRED SKILLS
Intelligent Automation
JOB INFO
Job Identification
3420
Job Category
Data Science and Machine Learning
Posting Date
06/10/2026, 01:28 AM
Locations
CA-Remote
(Remote)
Frequently Asked Questions
How do I apply for the Senior Artificial Intelligence/Machine Learning Engineer position at Ciklum?
Use the Apply button above to submit your application directly to Ciklum. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Senior Artificial Intelligence/Machine Learning Engineer position at Ciklum located?
This position is based in CA. Ciklum has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Senior Artificial Intelligence/Machine Learning Engineer at Ciklum earn?
Ciklum has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Senior Artificial Intelligence/Machine Learning Engineer role at Ciklum posted?
This role was posted on June 10, 2026 (5 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Senior Artificial Intelligence/Machine Learning Engineer role at Ciklum require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Ciklum lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
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