
Senior Developer
1 week ago
Job Profile:
Senior Solution Architect / Principal Architect
Position:
Senior Developer
Location:
Delhi
Experience Required
:
5 years
with software engineering and solution architecture, with strong exposure to enterprise-scale systems.
About the Role
We are seeking a seasoned
Senior Solution Architect / Principal Architect
with a strong background in
full stack development
and proven expertise in architecting
Generative AI solutions
. This role will require a balance of
deep technical expertise, enterprise solutioning, and leadership
, enabling you to design scalable AI-driven platforms and guide technical teams in delivering enterprise-grade solutions.
Key Responsibilities
- Enterprise Solution Architecture:
Define and lead architecture for large-scale, enterprise AI and full stack applications, ensuring scalability, security, and compliance. - AI-Driven Innovation:
Architect and deliver
Generative AI applications
using LLMs, embeddings, RAG pipelines, and vector databases. - Full Stack Leadership:
Provide guidance on
, , APIs (REST/GraphQL), and cloud-native architectures
, ensuring modern and efficient technology adoption. - Strategic Engagement:
Partner with
business leaders, product owners, and clients
to align solutions with business objectives and drive AI adoption strategies. - Team Leadership & Mentorship:
Lead and mentor cross-functional engineering teams, promote architectural best practices, and enable technical excellence. - Governance & Standards:
Establish architectural guidelines, conduct reviews, and ensure consistency across multiple projects and domains. - Pre-Sales & Advisory:
Support RFPs, proposals, and client workshops with technical solutioning and thought leadership. - Technology Roadmapping:
Evaluate emerging technologies in AI/ML, cloud, and software engineering to influence enterprise architecture and long-term strategy.
Required Skills & Qualifications
- 5 years
of experience in software engineering and solution architecture, with strong exposure to
enterprise-scale systems
. - Proven expertise in
, , APIs, and cloud platforms (AWS, Azure, GCP)
. - Hands-on experience designing and implementing
Generative AI solutions
(OpenAI, LangChain, custom LLM deployments, RAG pipelines). - Strong background in
system design, microservices, distributed systems, and event-driven architectures
. - Experience with
databases
(SQL, NoSQL) and
vector databases
(Pinecone, Weaviate, Milvus, etc.). - Demonstrated ability to
lead cross-functional teams
, manage multiple projects, and communicate effectively with technical and non-technical stakeholders. - Strong track record in
solutioning, proposals, and client-facing architectural discussions
.
Good to Have
- Experience in
enterprise AI adoption roadmaps, governance frameworks, and compliance (data privacy, security, model governance)
. - Knowledge of
MLOps and AI lifecycle management
. - Exposure to
multi-cloud and hybrid cloud strategies
. - Thought leadership (conference talks, publications, or open-source contributions).
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