Technical Solutions Manager (AI Architect)

Who We Are

At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses.  We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.

The Role

Position: Technical Solutions Manager (AI Architect) (Non-Union)  

Annual Salary Range: $60,000 - $85,000
Division: Application & Consulting Services

Manager: Colin Jessop

Location: Ontario

The Technical Solutions Manager (AI Architect) supports client engagements by helping discover business needs, translating those needs into clear AI requirements, and assisting with the design and delivery of practical AI solutions. The role combines client-facing consulting (presentations, workshops, requirements facilitation) with hands-on AI exploration (research, experimentation, prototyping). This role involves translating business and technical needs into scalable, intelligent architectures that incorporate AI services, data pipelines, and cloud-native platforms. The architect will guide cross-functional teams in implementing solutions that are resilient, secure, and optimized for performance and innovation. The position emphasizes continuous modernization, intelligent automation, and the ethical use of AI technologies to drive business outcomes.

This role is ideal for someone who is comfortable communicating with stakeholders and eager to grow technical and consulting depth through real-world delivery.

This is a Non-Union role, located in Ontario, and subject to regular business working conditions and occasional travel is a requirement of the role. This role is also expected to evolve as ISM’s business evolves.

Responsibilities:

• Participate in and facilitate requirements gathering activities such as discovery sessions, interviews, and workshops.

• Document and validate requirements, including problem statements, success measures, constraints, assumptions, and risks.

• Architect and design enterprise application solutions

• Assess current systems management practices

• Perform service level agreement negotiation and documentation

• Prepare and deliver client-ready presentations (findings, options, recommendations, prototypes, and progress updates).

• Translate business needs into AI use cases, including value hypotheses, feasibility considerations, and ethical/risk considerations.

• Support stakeholder alignment by summarizing trade-offs (e.g., accuracy vs. explainability; cost vs. performance; build vs. buy).

• Contribute to project artifacts such as meeting notes, decision logs, RAID logs, and statements of work content (as directed).

• Assist with solution design activities including:

  • data understanding and readiness assessment (high level),

  • feature / signal brainstorming,

  • evaluation approach definition (metrics, baselines, acceptance criteria),

  • model/service integration considerations (APIs, workflows, monitoring needs).

• Support the creation of prototypes / proofs of concept using approved tools and patterns (e.g., prompt prototypes, small ML experiments, retrieval approaches).

• Help define and execute experiments: test plans, evaluation datasets (where provided/approved), and results summaries.

• Contribute to technical documentation (solution overview, model cards/AI notes, evaluation summaries, runbooks) at an appropriate level for the audience.

• Follow organizational standards for security, privacy, and responsible AI practices as defined by project governance.

• Research emerging AI capabilities and patterns relevant to client problems (e.g., agentic workflows, RAG approaches, evaluation techniques).

• Run structured experiments to compare approaches and document what worked, what didn’t, and why.

• Contribute reusable assets such as templates, checklists, demo scripts, prompt libraries, and “lessons learned” write-ups.

• Lead a small pod/workstream of AI specialists (e.g., 1–3 people) on well-scoped tasks by:

  • clarifying goals and deliverables,

  • coordinating work and dependencies,

  • facilitating short stand-ups/check-ins,

  • ensuring quality and timely completion.

• Collaborate effectively in a matrixed environment with engineers, analysts, product owners, and client stakeholders.

• Seek mentorship and provide peer support through knowledge-sharing and constructive feedback.

• Support delivery management by maintaining task status, raising risks early, and helping keep work aligned to timelines.

• Contribute to estimates for small tasks (effort ranges, assumptions) and track progress against commitments.

• Assist with proposal/support materials (e.g., case study summaries, demo packaging) when needed.

Who You Are

Qualifications:

• University Degree in a relevant discipline (e.g., Computer Science, Data Science, Engineering, Information Systems, Statistics, or related).

• At least one (1) year of relevant experience in one or more of:

  • AI/ML, analytics, data engineering, or software delivery;

  • consulting, business analysis, or client-facing technology roles;

  • applied research, labs or internship experience with demonstrable outcomes.

• Demonstrated ability to present to clients and explain technical concepts in plain language (slides, demos, or written artifacts).

• Demonstrated ability to facilitate requirements gathering (workshops/interviews) or strong aptitude with examples.

• Foundational knowledge in at least two of the following:

  • ML basics (supervised/unsupervised concepts, evaluation metrics),

  • LLM concepts (prompting, RAG, hallucinations, evaluation),

  • data fundamentals (data quality, schemas, pipelines at a conceptual level),

  • software fundamentals (APIs, version control, testing concepts).

• Demonstrated ability to synthesize ideas and use abstract thought to understand new business domains

• Demonstrated ability to lead and positively influence others to achieve results that meet the organization’s strategic objectives.

• Basic level project management skills would be considered an asset.

• Demonstrated administration and organizational skills.

• Excellent oral and written communication skills.

Key Skills & Abilities:

• Exposure to cloud AI services or platforms (e.g., Azure/AWS/GCP concepts).

• Familiarity with responsible AI concepts (privacy, bias, explainability) and practical mitigations.

• Experience coordinating small teams (student projects, labs, internships, volunteer leadership).

• Basic project delivery methods (Agile/Scrum exposure).

• Strong facilitation skills: ability to guide conversations, ask structured questions, and synthesize outcomes.

• Analytical mindset with structured problem solving and comfort working with ambiguity.

• Proven ability to synthesize ideas and interpret abstract concepts

• Ability to manage multiple priorities and meet deadlines.

• Curiosity and learning agility; proactive research and experimentation habits.

• Team-oriented; able to collaborate across technical and non-technical audiences.

• Professionalism with clients: responsiveness, clarity, and follow-through.

*Note: This role may involve working with technology that is covered by US and/or Canadian Embargo Export Regulations; therefore all applicants will be subject to additional security screening requirements.

The above represents ISM’s pay range for this role. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role. The range provided reflects the target compensation range for the position at the time of posting. ISM’s total compensation package will vary based on the pay type of the position and may include performance-based incentives as well as other perks and rewards.

Being You

The “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That’s The Kyndryl Way.

What You Can Expect

Your career with us isn’t just a job—it’s an adventure with purpose.  We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best.

From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.

We’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success.

We want you to thrive here—and we’re committed to helping you do just that. Ready to make an impact? Join us and help shape what’s next.

Get Referred!

If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.