> Markdown version of [/jobs/ext/202547-technical-architect](https://www.wearedevelopers.com/jobs/ext/202547-technical-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Technical Architect

- **Company:** Tata Consultancy Services Limited
- **Location:** Cleveland, OH, United States
- **Salary:** $100,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Databases, Continuous Integration, Monitoring of Systems, Instant Messaging Technology, Python (Programming Language), Search Technologies, Systems Integration, Twilio, Speech Recognition, Core Voice Platform, Enterprise Software Applications, Chatbots, Genesys, Large Language Models, Prompt Engineering, Caching, Generative AI, Build Management, Information Technology, Performance Monitor, Machine Learning Operations, Speech Synthesis, GPT, Software Version Control, Serverless Computing
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e2dbc5ba83bc7c1a

## About the Role

Qualifications : BACHELOR OF COMPUTER SCIENCE
You must create an Indeed account before continuing to the company website to apply

## Description

* We are looking for a highly experienced AI Architect specializing in Python-based AI development, Large Language Models (LLMs), and the design of chatbots and voice bots.
 * The ideal candidate will architect enterprise-grade conversational AI solutions, ensure robust LLM performance monitoring, and drive innovation in Generative AI systems., LLM & Conversational AI Architecture:
 * Architect scalable solutions using LLMs, ChatGPT-style models, and voice AI frameworks.
 * Design and build chatbots and voice bots using Python, ASR (Automatic Speech Recognition), TTS (Text-to-Speech), and NLP/LLM pipelines.
 * Create frameworks for conversational flows, prompt engineering, retrieval-augmented generation (RAG), and context management.

Solution Development:

 * Build end-to-end AI applications using Python, integrating with APIs, databases, and cloud-native services.
 * Develop modular and reusable components for LLM inference, vector search, embeddings, and model orchestration.
 * Integrate LLMs with enterprise systems (CRM, ticketing, case management, internal knowledge bases).
 * LLM Performance Monitoring & Optimization.
 * Implement monitoring systems for latency, hallucination rate, safety compliance, drift detection, prompt performance, and model quality.
 * Set up continuous evaluation (CEVAL), feedback loops, and telemetry dashboards.
 * Optimize inference cost, token usage, model selection (small vs. large models), and caching strategies.
 * Voice Bot & Chat Bot Engineering

Architect solutions using:

 * Speech APIs (Azure Speech, Amazon Transcribe, Google Speech-to-Text).
 * Chat platforms (Teams, Slack, web chat widgets).
 * Telephony integrations (Twilio, Genesys, Ujet).
 * Ensure high accuracy in intent detection, slot filling, sentiment tracking, and multimodal interaction.

MLOps & Deployment:

 * Implement MLOps practices including CI/CD, model versioning, A/B testing, evaluation pipelines, and governance.
 * Deploy models on cloud platforms such as Azure, AWS, or GCP (Azure preferred if using OpenAI/Azure OpenAI).
 * Ensure compliance with enterprise AI governance, security, and ethical AI standards.


## Related Videos

- [AI Driven Development](https://www.wearedevelopers.com/videos/100340-ai-driven-development)
- [Wardley Maps for Software Developers](https://www.wearedevelopers.com/videos/665-wardley-maps-for-software-developers)
- [20 billion requests a week: Upgrading Twilio's API gateway at scale](https://www.wearedevelopers.com/videos/100234-20-billion-requests-a-week-upgrading-twilio-s-api-gateway-at-scale)
- [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension)
- [User 1st! Technology 2nd! Stop building AI nobody uses - start delivering real business outcomes](https://www.wearedevelopers.com/videos/100337-user-1st-technology-2nd-stop-building-ai-nobody-uses-start-delivering-real-business-outcomes)
- [The Design and Evolution of C++](https://www.wearedevelopers.com/videos/526-the-design-and-evolution-of-c)

## Related Articles

- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [The 8 Best Code Testing Tools](https://www.wearedevelopers.com/magazine/402-the-8-best-code-testing-tools)
- [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)