# Globant — Vice President of Technology - AI

- Generated: 2026-09-02 04:10:11 PM EDT
- Original/canonical posting: https://career.globant.com/job/VicePresidentofTechnologyAI/79019
- Employer job ID: 79019
- Posting time: Not disclosed
- Applicants at fetch: Not disclosed
- Work model/location: Remote (USA); posting header location New York, United States
- Employment type: Full time — expert level, hands-on and consultative
- Compensation: $210,000-$270,000 base plus 33% bonus
- Travel: Not disclosed
- Positioning track: Technical IC
- Fit outcome: PASS — 93%

## Fit decision

PASS. Keith directly matches the role's central mandate: translate client problems into scalable AI/ML architectures, remain hands-on in Python and production delivery, scope and estimate complex projects, guide technical teams, and advise business and technical stakeholders. The posting explicitly states Remote (USA), and its compensation exceeds Keith's standing threshold. The main caveat is that his recent LLM/NLP work is stronger than his computer-vision work; the record nevertheless includes AWS Rekognition and production imaging software, so this is not a hard gap.

## Weighted evidence map

| Requirement | Weight | Evidence score | Evidence |
|---|---:|---:|---|
| Design scalable AI/ML solution architectures for client needs | 3 | 3 | Production AI/platform architecture at IDW, NorthBay, MassMutual, SuccessKPI, and AWS. |
| Code, prototype, deploy models and pipelines hands-on | 3 | 3 | Direct Python, TensorFlow, APIs, data pipelines, agentic systems, cloud deployment, and production operations. |
| LLMs, generative AI, NLP, computer vision, and MLOps | 3 | 2 | Deep current LLM/NLP/MLOps evidence; older computer-vision evidence through Rekognition and production imaging systems. |
| Strong Python programming | 3 | 3 | Longstanding hands-on Python across AssistX, NorthBay's accelerator, cloud platforms, APIs, and analytics. |
| Cloud AI/ML services | 2 | 3 | Direct SageMaker, TensorFlow, AWS AI services, Bedrock AgentCore, and broad production AWS architecture. |
| Scope, estimate, plan, and deliver complex AI projects | 3 | 3 | Direct estimation, planning, roadmap, budget, risk, architecture, and delivery ownership across multiple roles. |
| Consult with technical and business stakeholders | 3 | 3 | Advised 200+ AWS enterprises, conducted workshops, and translated business needs into architectures and roadmaps. |
| Lead and mentor cross-functional technical teams | 2 | 3 | Direct teams of 7, 11, 24, and 25 plus AWS communities totaling 180+ specialists. |
| Relevant degree and required experience | 2 | 2 | Ph.D. in a technical scientific discipline plus decades of software engineering and AI architecture; degree is not in CS/engineering/data science. |
| Regulated industries, governance, privacy, and security | 1 | 3 | Direct MassMutual governance/privacy work and healthcare, pharma, finance, security, auditability, and responsible-AI experience. |

Weighted result: 70 of 75 possible points = 93.3%, rounded to 93%.

## Direct-match strengths

1. Hands-on end-to-end AI architecture and production implementation.
2. Current LLM, generative-AI, NLP, RAG, agentic, evaluation, and MLOps delivery.
3. Exceptional client-facing AI consulting and workshop experience through 200+ AWS enterprises.
4. Demonstrated scoping, estimation, planning, and on-time delivery of complex platforms.
5. Technical-team mentoring plus direct experience in governance, privacy, security, and regulated industries.

## Material gaps and caveats

1. Recent computer-vision depth is lighter than recent LLM and NLP delivery; direct older evidence exists.
2. The graduate degree is in molecular biology / microbiology and immunology rather than computer science, engineering, or data science.
3. Spanish and Portuguese are not documented; they are listed only as plus qualifications.
4. Travel, posting time, and applicant count are not disclosed.
5. The posting notes that remote-work permissibility can change with business needs.

## Full normalized job description

VP of Technology – Consumer Products & Retail Location: Remote (USA) Employment type: Full time - Expert level (Hands-On, Consultative) Salary : $ 210K-$270K base range, 33% bonus About the role Globant is seeking a dynamic, hands-on AI Architect to join our growing team. This role is ideal for a technical leader who is passionate about designing and delivering cutting-edge AI solutions, while also engaging directly with clients to understand their business needs and translate them into actionable, scalable architectures. You will be responsible for end-to-end project delivery, from discovery and estimation to implementation and deployment, leveraging the latest advancements in AI/ML models and platforms. Key Responsibilities Solution Architecture: Design robust,scalable AI/ML architectures tailored to client requirements, leveraging the latest in LLMs, generative AI, computer vision, NLP, and MLOps best practices. Select appropriate models, frameworks, and cloud platforms (AWS, Azure, GCP) for each use case. Hands-On Implementation: Lead by example in coding, prototyping, and deploying AI models and pipelines. Oversee data engineering, model training, evaluation, and integration with enterprise systems. Consultative Engagement: Work closely with clients to understand business challenges, conduct workshops, and translate needs into technical solutions. Advise clients on AI strategy, roadmap, and best practices for adoption and scaling. Project Estimation & Planning: Scope and estimate AI projects, including resource planning, timeline, and cost. Develop delivery plans and manage execution to ensure on-time, on-budget results. Delivery Leadership: Oversee end-to-end delivery of AI projects, ensuring quality, performance, and client satisfaction. Mentor and guide cross-functional teams (data scientists, engineers, analysts). Continuous Learning: Stay up to date with the latest AI research, models (e.g., GPT-4, Gemini, open-source LLMs), and industry trends. Evaluate and pilot new tools, libraries, and platforms for potential adoption. Ideal Candidate Profile Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. 7+ years of experience in software engineering, with at least 3 years in AI/ML solution architecture. Proven hands-on experience with modern AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, etc.). Deep knowledge of LLMs, generative AI, NLP, computer vision, and MLOps. Strong programming skills in Python (and optionally Java, Scala, or R). Experience with cloud AI/ML services (AWS SageMaker, Azure ML, GCP Vertex AI). Demonstrated ability to scope, estimate, and deliver complex AI projects. Excellent consultative and communication skills; able to engage with both technical and business stakeholders. Experience leading and mentoring technical teams. Strong problem-solving skills and a passion for innovation. Fluent in English; Spanish or Portuguese a plus. Core Competencies Experience in regulated industries (healthcare, finance, pharma, etc.). Experience with AI governance, ethics, and responsible AI practices. Experience with data privacy and security in AI solutions. Benefits: Benefits for this position will likely include the following Unlimited paid time off Healthcare benefits Dental benefits Vision benefits Disability insurance Life insurance benefits Retirement benefits, including 401(k) and a potential company match. Parental leave for both birthing (up to 14 weeks of paid leave) and non-birthing parents (up to 4 weeks paid leave), as well as adoption leave (up to 8 weeks of paid leave), subject to qualifications Child hospitalization leave (up to 15 paid calendar days per year), subject to qualifications “Be kind to yourself day” on your anniversary (subject to terms and conditions) Graduation and birthing gifts, subject to eligibility Paid Jury duty (up to 4 weeks a year), subject to eligibility Paid moving days (up to 2 days a year), subject to eligibility Approximately 12 paid company holidays a year Accommodations If you require an accommodation, please contact the recruiting team Applicant Privacy Globant will collect and process your information as part of this application. For more information, review Globant’s Privacy Policy. Equal Employment Opportunity Globant is an equal opportunity and affirmative action employer. We are committed to building a workforce representative of the users we serve, fostering a culture of belonging, and providing equal employment opportunity regardless of any basis protected by law. Use of AI in Recruitment Globant may use AI and machine-learning technologies in the recruitment process. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other protected characteristic. Globant is committed to providing reasonable accommodations for qualified individuals with disabilities. Remote Work Remote work permissibility may change based on business needs. For questions regarding work locations, speak directly with your hiring partner. Final compensation offered is based on multiple factors such as the specific role, hiring location, as well as individual skills, experience, and qualifications. In addition to competitive salaries, we offer a comprehensive benefits package. Learn more about life at Globant here: Globant Experience Guide . Final compensation offered is based on multiple factors such as the specific role, hiring location, as well as individual skills, experience, and qualifications. In addition to competitive salaries, we offer a comprehensive benefits package. Learn more about life at Globant here: Globant Experience Guide .

## Artifact metadata

- Resume: https://bit.ly/46BWZ0r
- Cover letter: https://bit.ly/4qQEzT7
- Direct resume: https://files.keithsteward.com/Globant/Keith_Steward_Vice_President_Technology_AI_79019_Resume.pdf
- Direct cover letter: https://files.keithsteward.com/Globant/Keith_Steward_Vice_President_Technology_AI_79019_Cover_Letter.pdf
- Archived JD capture: https://files.keithsteward.com/Globant/Keith_Steward_Vice_President_Technology_AI_79019_JD_capture.md
- Validation: 2-page resume (923 words); 1-page cover letter (241 words); profile 77 words; 40 supported technologies; PDF geometry, annotations, text extraction, visual rendering, and public links verified.
- Google Drive used: No