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Open nowPosted 4 days ago

Senior AI Engineer

Referrals Only31 open roles

Where
Bangalore, India; Chennai, India; Hyderabad, India; Pune, India
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Your applicationOpen nowSenior AI EngineerReferrals Only · Bangalore, India; Chennai, India; Hyderabad, India; Pune, India

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The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. Referrals Only postings stay open a median of 11 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: posted 4 days ago

Referrals Only median: 11 days open

The posting

AI Engineer at Thoughtworks apply a deep knowledge of AI engineering, foundation models, context engineering, retrieval architectures, agentic systems and LLMOps to design, build and operationalize enterprise AI solutions. This is coupled with awareness of adjacent areas, to make business value and data insights visible, enabling clear and effective decision making. They are responsible for the strategy, implementation, productionization and articulation of business impact. They collaborate with cross-functional teams and communicate findings to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members. As an AI Engineer at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems.

Job responsibilities

  • You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality for enabling AI and machine learning
  • You will be responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues
  • You will design, develop and implement AI Platforms that drive measurable business results
  • You will design experiments for the team to rapidly test ideas and assumptions, and identify future courses of action
  • You will use quality metrics to evaluate and deploy agents that will be deployed in the production environment
  • You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind
  • You will contribute to the growth of the AI Engineer community along with promoting a culture of data literacy within the organization
  • You will address ethical concerns and adhere to ethical guidelines using FATTER AI (fairness, accountability, transparency, trustworthiness, explainability, responsibility)
  • You will work with LLMOPS practices and data versioning tools

Job qualifications

Technical Skills

  • You have experience designing and deploying AI solutions using enterprise AI platforms such as AWS AgentCore, Google Vertex AI, Microsoft Foundry or equivalent cloud AI platforms
  • Strong experience in one of these languages - Python or Java or TypeScript / JavaScript
  • Experience in utilizing and building production grade code with at least one AI
  • Frameworks like Langchain, Langgraph, Pydantic, MS Agent Framework, AWS Strands,Google ADK
  • You have experience building interoperable AI solutions using emerging standards such as Model Context Protocol (MCP), Agent-to-Agent (A2A), AG-UI and similar protocols,enabling seamless integration, communication and collaboration across AI agents, enterprise platforms and external tools.
  • You establish standards for context engineering, prompt engineering and retrieval strategies that enable reliable, scalable and trustworthy AI systems across products.
  • You architect enterprise agentic systems, defining reusable patterns for orchestration, tool integration, reasoning, resilience and multi-agent collaboration.
  • You define retrieval and knowledge platform architectures while establishing LLMOps standards including AI evaluation frameworks, observability, guardrails, Responsible AI,Explainable AI, governance and continuous improvement to deliver reliable, scalable and measurable AI systems.
  • You ensure compliance with data privacy regulations and ethical standards when handling sensitive information

Professional Skills

  • You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and
  • gaining trust along the way
  • You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives
  • You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them
  • You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work
  • You enjoy influencing others and always advocate for technical excellence while being open to change when needed
  • You are a proven leader with a track record of encouraging teammates in their professional development and relationships
  • Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business

Other things to know

Learning & Development

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

Responsible Use of AI in Recruitment

At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.

Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers.

We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment.

About Thoughtworks

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.

#LI-Remote

#LI-Remote

#LI-Hybrid

See here our AI policy.

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