Tech Lead, Platform (Data & AI)

hireworks.io

Buenos Aires

Remote

ARS 181,672,000 - 272,508,000

Full time

8 days ago

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

Remote flexibility
Paid time off
Public holidays

Job summary

hireworks is seeking a Tech Lead, Platform (Data & AI) to shape the client’s technology strategy as they become more data-driven and AI-enabled. This highly hands-on role blends leadership with coding, owning platform architecture and mentoring a small team of engineers across data, AI/ML, and cloud infrastructure.

You will collaborate with Product and Business leadership to drive scalable data pipelines, AI-enabled features, and cloud systems on AWS/GCP, while remaining active in high-impact

Qualifications

  • 7+ years of engineering experience, with 2–3+ years in senior technical leadership or people management
  • Strong software engineering experience with TypeScript and Python or Java, API design and microservices
  • Experience making foundational architectural decisions in early-stage or greenfield environments
  • Experience with large-scale datasets, ETL pipelines, or analytics platforms
  • Cloud familiarity (AWS and/or GCP) and containerized infrastructure
  • Strong collaboration and communication skills across product, engineering, and business teams
  • Player-coach mentality: set technical direction and contribute hands-on while building out the team

Responsibilities

  • Provide hands-on technical leadership across software development, data, AI/ML, and cloud infrastructure, mentoring a team of 3–5 engineers
  • Own the platform architecture and establish pragmatic frameworks and engineering practices
  • Lead build-vs-buy decisions and communicate tradeoffs to leadership
  • Establish and evolve data architecture including pipelines, models, warehousing/lake infrastructure
  • Identify and drive AI opportunities and productionize AI capabilities
  • Own and operate AWS/GCP-based cloud systems with focus on scalability, cost, security, deployment, monitoring, reliability
  • Remain hands-on on high-impact areas while guiding the team through complex engineering problems
  • Plan for growth in product, data volumes, and team size and adapt architectures accordingly
  • Document architecture decisions with ADRs and diagrams for maintainability
  • Ensure SOC 2 compliance and security controls

Skills

Leadership
TypeScript
Python/Java
API design
Microservices
Data architecture
AWS
GCP
SOC 2
AI/ML
Documentation

Tools

AWS
GCP
Docker
Kubernetes

Job description

About the job Tech Lead, Platform (Data & AI)
About hireworks

hireworks is building a community of top talent in key international markets by unlocking unparalleled access to positions at leading U.S. based companies. As your employer, hireworks will ensure you have a seamless interview, onboarding, and employee experience - providing ongoing support and resources along the way. Established in 2023, hireworks is forging corp-to-corp relationships with leading U.S. based organizations looking to grow their teams with best-in-class talent around the world. Working with hireworks means unlocking access to a network of local peers and mentors and career opportunities through our client network.

About our Client

Our client is aBusiness Process Outsourcer (BPO) committed to fostering brand growth through outstanding customer experiences. They were founded by e-commerce pioneers who struggled to find an equally innovative customer service partner. Many companies view customer care as merely a cost center, but they believe it offers much more! If you enjoy delighting customers and leveraging data to provide valuable insights to clients, they could be your ideal workplace!

About the Position

As Tech Lead, Platform (Data & AI), you'll play a pivotal role in shaping our client's technology strategy as the company evolves into a more data-driven, AI-enabled business. This is a highly hands-on role (combination of hands on coding and leadership) where you'll own platform architecture, mentor a small engineering team, and build the scalable data infrastructure needed to power future AI-driven products and customer insights. You'll work closely with Product and Business leadership to make critical technical decisions, modernize existing systems, and identify opportunities to leverage data and AI to transform the customer experience.

What You'll Do

Provide hands-on technical leadership across software development, data, AI/ML, and cloud infrastructure, while managing and mentoring a small team of 3-5 engineers.

Own the technical architecture of the platform, establishing pragmatic frameworks and engineering practices.

Lead strategic build-vs.-buy decisions, evaluating whether capabilities should be developed internally, integrated through third-party platforms, or leveraged through emerging AI/ML services. Clearly communicate the associated technical, financial, operational, and strategic tradeoffs to Product and Business leadership.

Establish and evolve the data architecture, providing technical direction across data pipelines, integrations, data models, warehousing/lake infrastructure, and the systems required to make data reliable and accessible.

Identify and drive opportunities to apply AI/ML, including integrating AI capabilities into products and workflows, evaluating emerging technologies, and partnering with product/business stakeholders to turn AI opportunities into production-ready solutions.

Own and operate cloud-based systems across AWS and Google Cloud, making thoughtful decisions around infrastructure, scalability, cost, security, deployment, monitoring, and reliability.

Remain deeply hands-on, contributing code and technical implementation to the highest-impact areas while helping the team solve complex engineering problems.

Build for the next stage of the organization, anticipating how product growth, increasing data volumes, customer needs, and a growing engineering team will affect today's technical decisions.

About You

7+ years of engineering experience, with at least 2-3 years in a senior technical leadership and/or people management capacity

Strong software engineering experience with TypeScript and Python or Java, as well as API design and microservices architecture

Experience making foundational architectural decisions in an early-stage or greenfield environment

Previous work with large scale datasets, ETL pipelines, or analytics platforms

Strong familiarity with cloud environments (AWS and/or GCP) and containerized infrastructure

Strong collaboration and communication skills - able to work effectively across product, engineering, and business teams

Ability to act as a player-coach: set technical direction and contribute hands-on while building out the team and establishing the processes that will scale with it.

Passion for technical documentation practices, including architecture diagrams, ADRs, and other artifacts that make technical decisions clear and maintainable.

Working knowledge of SOC 2 compliance requirements and security controls

Bonus Qualifications:

AI/ML and LLM fluency, including building AI/ML features into products.

Experience building platforms or tools for non-technical users, especially in AI/ML, automation, or workflow spaces

Benefits:

hireworks is cultivating a growing community of top talent across LATAM. In addition to unlocking access to positions at top tier U.S. based companies, we offer a variety of benefits to enhance your experience:

Competitive Pay - compensation that reflects your experience and accomplishments

Remote Flexibility - work from anywhere in your home country: Colombia, Argentina or Brazil

Paid Time Off - ample vacation days to rest and recharge

Public Holidays - federal holidays are fully paid days off (in your local country)

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Tech Lead, Platform — Data & AI (Remote)
Tech Lead, Platform — Data & AI (Remote)

hireworks.io • Buenos Aires

Remote
ARS 181,672,000 - 272,508,000
Remote flexibility
Paid time off
Public holidays
Senior Software Engineer / Technical Lead – Payments
Senior Software Engineer / Technical Lead – Payments

hireworks.io • Buenos Aires

Remote
ARS 181,747,000 - 272,620,000
Competitive Pay
Remote Flexibility
Paid Time Off
+1
Remote Data Platforms Engineer For Ai Tooling (Latam)
Remote Data Platforms Engineer For Ai Tooling (Latam)

Itx-Jordan • Quilmes

Hybrid
ARS 181,747,000 - 272,620,000
Professional growth
USD-based pay
Remote and office options
+1
Tech Lead (.Net)
Tech Lead (.Net)

Skydropx - Frenet • Buenos Aires

Hybrid
ARS 213,233,000 - 289,387,000
Professional growth
USD-based pay
Exciting projects
+1
Lead AI Engineer
Lead AI Engineer

Blend • Municipio de Esquel

On-site
ARS 181,906,000 - 272,860,000
Travel opportunities
Company-provided equipment
Flexible working options
+2
Tech Lead Python | Ai, Cloud & Microservices Fintech
Tech Lead Python | Ai, Cloud & Microservices Fintech

Accenture Plc • Buenos Aires

Hybrid
ARS 227,183,000 - 333,202,000
Professional growth
Competitive USD-based compensation
A selection of exciting projects
+1
Senior Ai-Driven Backend Engineer (Remote)
Senior Ai-Driven Backend Engineer (Remote)

Pyyne Digital • Santa Fe Capital

Remote
ARS 68,155,000 - 113,592,000
100% remote work
Laptop provided
Generous PTO
+2
Mining Processes & Infrastructure Lead - Latam
Mining Processes & Infrastructure Lead - Latam

Maxit Consulting - Max Corporate Group • Buenos Aires

Hybrid
ARS 125,187,000 - 250,374,000
Professional growth
Competitive USD compensation
A selection of exciting projects
+1
Remote Latam Mining: Process & Infrastructure Lead
Remote Latam Mining: Process & Infrastructure Lead

Motorola Solutions • Buenos Aires

Hybrid
ARS 136,310,000 - 196,892,000
Professional growth
Competitive USD-based compensation
Flextime
Senior Backend Engineer - Scalable Systems & Ai Tools
Senior Backend Engineer - Scalable Systems & Ai Tools

Capgemini • Buenos Aires

Remote
ARS 90,873,000 - 181,747,000