AI Architect

Home Careers AI Architect AI ArchitectFull-Time / Direct Hire / FTE Skills/Experience 6–10 years of experience in AI/ML/Deep Learning model development; 5 years of experience in Cloud AI platforms (AWS SageMaker / Azure ML / GCP AI) 2-3 years hands-on experience with LLMs, NLP, or speech/voice AI systems and deploying AI solutions in production environments 3-5 years of experience designing, training, and fine-tuning LLMs or AI models, Speech/Voice AI systems, Realtime voice pipeline 2+ years of experience in Agentic AI frameworks such as LangChain, LangGraph, A2A, MCP, and Multi agent orchestration 2-3 years of experience Familiarity with model evaluation metrics, bias detection, and optimization 5 years of experience in integrating AI models into applications via APIs or pipelines 5 years of experience in Python, PyTorch, TensorFlow, or similar frameworks 2-3 years in Azure services – Azure AI Speech & Translator, Azure OpenAI, AI Search, plus Container Apps/AKS, API Management, Event Hubs, Key Vault, and Application Insights Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field Strong mathematical and statistical foundation; Preferred – Advanced coursework or certifications in ML, DL, or NLP Secondary / Preferred Skills – Advanced LLM techniques, prompt engineering, and fine-tuning strategies; Continuous learning on emerging AI frameworks and architectures; AI ethics, fairness, and responsible AI deployment; LLMOps – layered evals (WER, entity F1, COMET), CI regression gates, tracing, cost-per-minute telemetry, model routing, and drift detection. Role / Job Description Design, develop, and deploy advanced AI models to meet business requirements; Research emerging AI/ML technologies and propose innovative solutions Evaluate model performance, fine-tune, and ensure scalability and reliability; Collaborate with data engineers, LLM Ops, and software teams for end-to‑end solutions Clearly explain AI concepts and model behavior to technical and non-technical stakeholders; Mentor junior AI engineers and review code/models for best practices Identify bottlenecks in model performance and propose solutions; Troubleshoot deployment or integration challenges proactively Analyze data patterns and model outputs to derive insights; Apply structured thinking to optimize AI workflows and pipelines Present complex model results in a concise and actionable manner; Collaborate effectively with cross-functional teams Provide constructive feedback and mentor junior team members; Problem‑Solving and Analytical Thinking Experience in Agile/Scrum projects with exposure to tools like Jira/Azure DevOps Provides regular updates, proactive and due diligent to carry out responsibilities Why Join WinWire: Your Path to Professional Excellence in the Age of AI As anEmployer of Choice, WinWire offers an exceptional workplace culture, industry recognition, and an unwavering commitment to employee growth. Here is why top talent chooses us: AI-First. Globally Recognized : Honored at the World Economic Forum in Davos for our pioneering "Agentic AI @ Scale" work, cementing our position as a forward-thinking, AI-first services firm shaping the future of enterprise technology. Read Press Release Microsoft Gold Standard : A6x MicrosoftGlobal Partner of the Year Winner/Finalist — reflecting our consistent delivery of industry-leading solutions and our deep, trusted partnership with Microsoft. Learn more about our MSFT relationship Joining the NTT DATA Family : WinWire (Part of NTT DATA), a $30 billion global leader in AI, digital business, and technology services. This means greater career stability, broader client exposure, and access to a vast landscape of opportunities across a truly global organization. Read Press Release Award-Winning Culture : Certified as a Best Place to Work® four times, our workplace culture is not just a talking point — it is a proven, recognized commitment to creating an environment where people genuinely thrive. Watch video People-First Environment : With a strong 4.0 Glassdoor rating, our employees speak for themselves. We prioritize wellbeing, inclusivity, and a culture of respect at every level of the organization. Invest in Your Growth : From continuous learning programs to structured career development pathways, we equip our team with the skills, tools, and opportunities needed to grow and lead in the age of AI. Working at WinWireOur Culture Score