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Chief Technology Officer
HR Ways - Hiring Tech Talent. Set the company's AI-first technology vision and roadmap .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI technology vision, architecture, and delivery, with a strong focus on cloud platforms, data engineering, and scalable systems. Proven ability to lead and mentor engineering teams while ensuring high-quality technical standards and client satisfaction.
Highest-signal resume keywords
AI Technology VisionCloud Platforms (AWS, Azure, GCP)LLM/GenAI/ML Systems DeliveryTechnical LeadershipData Engineering Standards
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringDistributed ArchitectureAPIsData PipelinesDevOpsMulti-Tenant SaaS PlatformsAI EvaluationTechnical Due DiligencePerformance MetricsTechnical Roadmaps
Soft Skills
CommunicationMentoringStakeholder ManagementTeam LeadershipProblem-Solving
Tools & Technologies
SnowflakeDatabricksDbtAirflowCI/CDMLOpsLLMOpsAgent FrameworksVector DatabasesObservability Tools
Certifications & Qualifications
AWS CertificationAzure CertificationGCP Certification
Industry Keywords
AIConsultancyIT ServicesData GovernanceEngineering MetricsCloud ArchitectureTechnical Risk PricingClient C-Suite CommunicationOpen-Source ContributionsGCC/UK/Europe/North America Projects
Tech Stack
Tools & technologiesAirflowAWSAzureCloudGoogle Cloud PlatformSnowflake
About the role
Key responsibilities & impact- Set the company's AI-first technology vision and roadmap
- Make build-versus-buy-versus-fine-tune, model selection, vendor evaluation, and AI suitability decisions
- Bring agentic systems, LLM applications, RAG, evaluation frameworks, and production guardrails into production
- Embed AI across planning, coding, testing, review, and documentation
- Serve as senior technical authority in discovery, solution architecture, technical due diligence, and executive presentations
- Partner with founders and commercial teams on pre-sales scoping, effort estimation, proposals, and technical risk pricing
- Own technical delivery quality, architecture standards, code quality, timelines, and client satisfaction
- Convert consultancy work into reusable accelerators, templates, and intellectual property
- Lead technology direction for Balencia, internal AI platforms, and custom client products
- Convert product vision into technical roadmaps and release plans
- Architect scalable multi-tenant systems, APIs, observability, performance, and cost efficiency
- Balance engineering resources between product development and consultancy commitments
- Own cloud/platform architecture, CI/CD, MLOps/LLMOps, and data engineering standards
- Enforce enterprise-grade security, data privacy, and compliance practices
- Manage cloud, AI/API, and tooling spend and track cost-to-value
- Define and track engineering metrics including delivery predictability, quality, uptime, and AI model performance
- Lead, mentor, and expand a team of 6–15 engineers, data scientists, and AI specialists
- Own technical hiring, role design, interview structures, and hiring standards
- Establish career paths, performance feedback loops, and technical ownership
- Lead architecture and critical code reviews
- Personally build proofs of concept and AI prototypes when needed
- Maintain close proximity to the codebase to identify issues early and drive engineering excellence
Requirements
What you’ll need- 15+ years in software engineering and technology leadership
- Prior experience as a CTO, VP of Engineering, Head of Engineering, or equivalent executive role
- Deep mastery of backend/frontend systems, distributed architecture, APIs, databases, cloud platforms (AWS, Azure, or GCP), and DevOps
- Proven track record shipping LLM, GenAI, or ML systems to real users
- Experience managing AI evaluation, hallucinations, latency, cost, and data privacy
- Active daily usage of AI tools and experience restructuring engineering workflows for measurable productivity gains
- Strong understanding of data pipelines, warehousing, analytics platforms, and data governance
- Experience leading technology within a consultancy, agency, or IT services firm
- Hands-on experience with SOWs, scoping, utilization, margins, and stakeholder management
- Experience taking at least one product from early-stage design to paying customers
- Ability to communicate technical topics to client C-suites and board members while balancing technical trade-offs against cost and commercial impact
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Experience with modern data stack technologies such as Snowflake, Databricks, dbt, or Airflow is preferred
- Experience building 0-to-1 multi-tenant SaaS platforms is preferred
- Familiarity with agent frameworks, vector databases, and model fine-tuning/hosting is preferred
- Experience delivering projects for clients in the GCC, UK, Europe, or North America is preferred
- Relevant AWS, Azure, or GCP cloud or AI certifications are preferred
- Active public footprint through open-source contributions, conference talks, writing, or published case studies is preferred
- Experience building and scaling engineering teams in Pakistan is preferred
Benefits
Comp & perks- Flexible timings
- Monday–Friday work schedule, 10 am–6 pm
- Hybrid working mode