Career Preparation
Plan your move into AI responsibilities using your existing experience.
Agentic AI Career Transition Roadmap
Work one-to-one with Sunil Mathew to connect your experience to a direction inside your current company or with another employer. Review the gaps you need to address and receive a career-roadmap report, with feedback from one mock interview.
| Programme overview | Details |
|---|---|
| Who this is for | Experienced engineers, architects and engineering leaders deciding how to move into AI responsibilities internally or with another employer. |
| What you receive | A review of relevant experience and capability gaps, a career-roadmap report and one mock, within four hours. |
| Format | One-to-one sessions on a weekly cadence; guidance, gap analysis, the roadmap report and one mock are included within four hours. |
| Hours | 4 one-to-one hours |
| Fee | $399 |
| GST | Not charged at the moment. If that changes, we will tell you before you pay. |
| Next step | Request a career roadmap |
The move can happen inside your company, too
You may want to join an AI team, take ownership of an agentic feature or bring stronger architecture judgment into your existing role. You may also be considering an external move to a product company or an agentic-AI position.
Begin with what the responsibility requires. Identify which parts of your experience transfer, what capability needs development and what practical evidence would support the move.
Turn the direction into a plan
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Establish your target
Discuss the work you want to do and how it differs from your current responsibilities. Make the direction specific enough to assess.
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Examine the fit and gaps
Compare your experience and project evidence with that direction. Identify technical learning, practical work and preparation that deserve attention.
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Develop the career-roadmap report
Bring the fit-gap analysis and priorities together into next actions for learning, project evidence and preparation.
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Practise one agreed interview theme
Use a mock to examine how you explain your experience and decisions. Connect the feedback to the preparation priorities in your roadmap.
What you leave with
A career-roadmap report with a fit-gap analysis and practical next actions, plus feedback from one mock. The package gives structure to the learning and practice you undertake afterwards.
Developing the technical capability takes further work. A hands-on Agentic Systems programme can be considered separately if it fits the gaps you identify.
Who can enquire?
Experienced engineers, architects and engineering leaders considering agentic-AI work. Service-company professionals, product-company engineers and GCC professionals can discuss an internal or external move. The current service excludes freshers.
Guidance grounded in engineering and people development
Sunil Mathew brings 26 years of engineering experience and past roles at Google, Amazon and Walmart Labs. He has hired, developed and assessed senior technical professionals and now works on agentic-AI products, consulting and teaching.
That background connects your career goal to the capability and evidence it asks you to develop. About Sunil.
Time and scope
4 hours in total, including personal guidance, fit-gap analysis, the career-roadmap report and one mock. Sessions follow a weekly cadence. Fee: $399. Session allocation, schedule, report arrangements and payment terms are discussed before booking.
The package provides guidance, a roadmap and practice. Referrals, applications and placement are outside its scope.
Already have a target role and need interview practice? Compare the three-hour preparation package.