Careers at WTA: Building the Next Wave of AI-Native Talent

At We Think AI (WTA), we don't just build AI solutions—we create the people, culture, and expertise that make enterprise AI adoption possible. Our mission is to equip every employee with the skills, mentorship, and opportunities needed to thrive in an AI-first world. As organizations around the globe accelerate their AI strategies, WTA is committed to cultivating the next generation of AI-native talent: engineers, strategists, designers, innovators, and leaders who can deliver with speed, scale, responsibility, and creativity. Careers at WTA are about more than employment; they are about joining a long-term mission to shape how enterprises adopt, trust, and scale AI responsibly over the next decade and beyond, while also empowering individuals to grow into global change-makers.

Why Work at WTA?

Choosing a career at WTA means joining a global ecosystem at the forefront of AI innovation. Our people thrive in a culture that rewards curiosity, values collaboration, and encourages bold experimentation. Every project we undertake is aligned with our 10-year vision for responsible AI, ensuring your work contributes to long-term impact. Employees at WTA can expect:

  • Challenging Projects: Work on high-impact problems across industries like finance, healthcare, telecom, retail, and manufacturing.
  • Global Impact: Deliver solutions through our Global Capability Centers (GCCs), collaborating with enterprises in diverse geographies.
  • Rapid Growth: Learn and adapt through the SPEED framework, which enables WTA to deliver enterprise AI in as little as 90 days.
  • Innovation Culture: Participate in hackathons, research sprints, and cross-functional innovation guilds.
  • Career Progression: Access mentorship from senior leaders, structured career tracks, and opportunities to expand into leadership, product strategy, or global roles.
  • Flexibility & Balance: Leverage hybrid work models and flexible schedules designed to empower employees to do their best work.

Roles and Opportunities

WTA provides diverse career paths that allow individuals to contribute to every stage of the AI lifecycle:

  • AI Engineers: Design, train, and optimize LLMs; build retrieval-augmented generation (RAG) pipelines; and develop multi-agent systems for enterprise use cases.
  • Data Scientists: Analyze data, design experiments, and create predictive and generative models that unlock business insights.
  • MLOps Specialists: Build CI/CD pipelines, manage model deployments, and ensure reliable, scalable AI operations.
  • Product Strategists: Connect business goals with technical delivery, ensuring that every solution drives measurable outcomes.
  • Compliance & Governance Experts: Safeguard projects by embedding ethical frameworks, fairness testing, and regulatory alignment.
  • Design & UX Innovators: Develop intuitive, human-centered experiences that make AI adoption seamless and engaging.
  • Program Managers: Oversee cross-functional delivery, ensuring projects stay on track and aligned with client objectives.

Learning and Development

At WTA, the future of AI depends on continuous learning. Our employees benefit from:

  • Continuous Learning Programs: Regular workshops, certifications, and access to leading-edge AI research.
  • Cross-Functional Exposure: Opportunities to rotate across engineering, product, and strategy projects in multiple industries.
  • Mentorship Programs: One-on-one coaching from experienced leaders who have delivered global-scale AI solutions.
  • Career Mobility: Opportunities to explore different roles and geographies within WTA’s global network.
  • Leadership Pathways: Training programs to prepare high-potential employees for leadership roles in engineering, governance, and product strategy.

Culture and Values

Our culture is built on a foundation of responsibility, inclusion, and innovation. We believe in creating an environment where employees are empowered to make bold moves while upholding enterprise-grade trust:

  • Responsible AI First: Every project is guided by governance, transparency, and fairness.
  • Collaboration Over Silos: Cross-functional pods combine engineering, product, and compliance expertise.
  • Innovation as a Habit: Employees are encouraged to explore frontier AI applications and contribute ideas to research initiatives.
  • Global Mindset: With GCCs across multiple continents, diversity, inclusion, and cultural awareness are central to our identity.
  • Sustainability: We are committed to building AI solutions that not only deliver value but also minimize environmental impact.

Hiring Process

We make joining WTA as transparent and candidate-friendly as possible:

  1. Application Review – Submit your profile through our careers portal.
  2. Initial Conversation – An introductory call to understand your interests and career goals.
  3. Technical or Functional Assessment – Depending on the role, you may complete a coding test, case study, or design challenge.
  4. Panel Interviews – Meet cross-functional team members, including engineering, product, and leadership.
  5. Culture Fit & Final Round – A conversation about alignment with WTA’s values, vision, and long-term growth opportunities.
  6. Offer & Onboarding – Begin your journey with structured onboarding, mentorship pairing, and immediate project immersion.

What Our People Say

WTA employees consistently describe their journey as transformative:

  • “Working at WTA means tackling problems that matter. Every project feels like it advances the industry.” – AI Engineer
  • “The mentorship culture has accelerated my growth beyond what I expected. I learn daily from peers and leaders alike.” – Data Scientist
  • “Innovation here isn’t just a buzzword—it’s embedded into how we work and collaborate every day.” – Product Strategist
  • “I value the diversity of perspectives. At WTA, I work with colleagues across the world, and that’s what makes our solutions stronger.” – MLOps Specialist

Conclusion

A career at WTA is about more than writing code or delivering products—it’s about building the future of enterprise AI. By joining WTA, you become part of a global team that is shaping responsible, scalable, and transformative AI solutions. You’ll contribute to projects that matter today while helping enterprises prepare for the challenges and opportunities of tomorrow. If you’re ready to innovate, grow, and make a measurable impact, WTA is the place where your AI-native career begins.

Manish Surapaneni

A visionary leader passionately committed to AI innovation and driving business transformation.

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