AI Architect
Bengaluru Full-time Mid-level AI Engineering
At a glance
Mid-level AI Engineering role at Eeho. Bengaluru · full-time.
Pay not stated AI Architect salary
RoleAI Engineering
SeniorityMid-level
LocationBengaluru
EmploymentFull-time
PostedOct 24, 2026 · 8d ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Design, build and launch production AI models, with emphasis on generative AI, language models and intelligent agents
- Set technical direction across teams delivering AI applications and shape cloud designs for OCI and multi-cloud environments
- Coach teams on AI solution design, guide architecture strategy and align it with data, DevOps and security practices
- Work with executives to set AI priorities and roadmaps, while overseeing estimates, technical governance and delivery
- Support customer demos and proposals, and share AI guidance through internal papers, leadership sessions and coaching
What you bring
- You bring twelve to fifteen years of experience overall, including at least five years in data science or AI/ML engineering
- You have led AI/ML solution design through production deployment and have a track record in generative AI, LLMs, NLP and agents
- You are highly proficient in Python and have hands-on experience building and tuning AI systems on OCI
- You understand ML algorithms, prompt design, vector stores, RAG workflows, MLOps, model governance and ML CI/CD
Who this fits
This role suits a senior AI/ML practitioner who can lead architecture across teams, mentor colleagues and engage with executive stakeholders. The position is based in Bengaluru, India.
From the employer
Qualifications & Experience
- 12–15 years of total experience, with 5+ years in Data Science or AI/ML Engineering roles.
- Demonstrated experience leading end-to-end AI/ML solution design and production deployment.
- Proven track record in Generative AI, LLMs, NLP, and AI agent development.
- Expert in Python and familiar with modern ML/NLP frameworks: HuggingFace, LangChain, PyTorch, TensorFlow, etc.
- Experience fine-tuning LLMs for domain-specific applications (e.g., Q&A systems, auto-documentation, predictive insights).
- Hands-on experience building, scaling, and optimizing AI systems on OCI, with knowledge of hybrid/multi-cloud architectures.
- Strong knowledge of machine learning algorithms, prompt engineering, vector databases, and RAG pipelines.
- Familiar with MLOps, model governance, and CI/CD for ML workflows.
- Strong communication and stakeholder management skills—able to bridge the gap between technical and executive teams.
Key Responsibilities
- Architect, build, and deploy production-grade AI/ML models with a strong focus on GenAI, LLMs, and intelligent agents.
- Serve as a lead architect across multiple cross-functional teams delivering AI-enabled applications.
- Design scalable, cloud-native AI solutions using Oracle Cloud Infrastructure (OCI) and other multi-cloud platforms.
- Mentor teams on solution design, best practices, and delivery excellence for AI projects.
- Guide enterprise-wide AI architecture strategy, ensuring alignment with data strategy, DevOps, and security best practices.
- Engage with C-suite stakeholders to define AI priorities, value propositions, and roadmaps.
- Lead solution estimation, technical governance, and program oversight.
- Contribute to GTM initiatives, including customer-facing demos and proposal development.
- Stay current with the latest advancements in GenAI, LLM optimization, AI agent architectures, and model integration strategies.
- Publish internal whitepapers, present at leadership forums, and help grow the AI practice through coaching and community engagement.
Career Level - N/A
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