Arise TechGlobal

Senior Forward Deployed Engineer – AI &amp; Data Science
Company:
Arise Tech Global
Experience:
8–14 years, depending on educational qualification
Location:
Hyderabad, India
Employment Type:
Full-time
About Arise Tech Global
Arise Tech Global is a technology and talent solutions company helping organizations build high-performing teams across enterprise technology, infrastructure, cloud, cybersecurity, and digital transformation.
About the Role
We are looking for a
Senior Forward Deployed Engineer
to join an innovative AI and Data Science engineering team. This role focuses on the end-to-end technical delivery of complex AI and automation solutions, from business discovery and solution design to development, evaluation, production deployment, and stabilization.
The ideal candidate will combine hands-on engineering expertise with technical leadership, working across Applied AI/ML, Generative AI, RAG, AI agents, enterprise integrations, and MLOps/LLMOps. The role requires the ability to translate complex business problems into scalable, secure, production-ready solutions while coordinating multidisciplinary teams and delivering measurable business value.
Key Responsibilities
<ul>
<li>Lead technical discovery by understanding business workflows, user needs, success criteria, data readiness, integration dependencies, and production constraints.</li>
<li>Translate business challenges into executable solution designs, delivery plans, technical workstreams, estimates, milestones, and acceptance criteria.</li>
<li>Build, prototype, review, and contribute to critical production components, including AI-enabled applications, RAG systems, bounded agents, intelligent automation, APIs, and integrations.</li>
<li>Define end-to-end architecture across applications, workflows, data pipelines, models, retrieval systems, agents, enterprise integrations, identity, access controls, and observability.</li>
<li>Coordinate delivery across engineering, data science, ML, testing, platform, security, compliance, and business teams.</li>
<li>Establish integrated testing, AI evaluation, and governance processes covering functionality, performance, security, model quality, retrieval, generation, tool usage, and human oversight.</li>
<li>Coordinate production readiness through CI/CD, staged releases, monitoring, logging, service-level objectives, rollback mechanisms, recovery procedures, and runbooks.</li>
<li>Support production issue triage, early stabilization, and transition to operational teams.</li>
<li>Communicate technical evidence, risks, trade-offs, and delivery progress to stakeholders.</li>
<li>Measure solution adoption and business value, translating delivery insights into reusable components, accelerators, standards, documentation, and playbooks.</li>
</ul>
Required Skills &amp; Qualifications
Education &amp; Experience
Candidates must meet one of the following qualification and experience criteria:
<ul>
<li>Doctorate in Computer Science, Information Technology, or a related field, with 1+ year of relevant experience.</li>
<li>Master’s degree in Computer Science, Information Technology, or a related field, with 8–10 years of experience.</li>
<li>Bachelor’s degree in Computer Science, Information Technology, or a related field, with 10–12 years of experience.</li>
<li>Diploma in a related field, with 12–14 years of experience.</li>
</ul>
Technical Skills
<ul>
<li>Demonstrated end-to-end technical ownership of at least one production AI, ML, software, data, or automation solution that delivered measurable enterprise outcomes.</li>
<li>Strong hands-on proficiency in Python and SQL.</li>
<li>Experience designing or reviewing production software, APIs, services, data flows, evaluation pipelines, and enterprise integrations.</li>
<li>Ability to translate complex business problems into technical designs, executable delivery plans, acceptance criteria, and production-readiness evidence.</li>
<li>Advanced expertise in at least one of the following areas, with credible breadth across the production lifecycle:</li>
<li>Applied AI/ML</li>
<li>Generative AI, RAG, and AI agents</li>
<li>Full-stack and integration engineering</li>
<li>AI platforms and MLOps</li>
<li>Strong understanding of enterprise solution architecture, cloud-native engineering, DevSecOps, and production operations.</li>
<li>Familiarity with model evaluation, Responsible AI, privacy, governance, auditability, and regulated delivery requirements.</li>
</ul>
Preferred Skills
<ul>
<li>Advanced RAG, hybrid or graph retrieval, knowledge graphs, source verification, MCP-style integrations, and multi-agent workflows.</li>
<li>Experience with AWS, Amazon Bedrock, SageMaker, Databricks, Spark, Kubernetes, serverless architectures, and event-driven systems.</li>
<li>Familiarity with infrastructure as code, MLflow, Airflow, Kubeflow, observability, and FinOps.</li>
<li>Experience with JavaScript/TypeScript, modern web applications, API gateways, distributed workflows, process automation, and human-AI review interfaces.</li>
<li>Experience in life sciences, biotechnology, pharmaceuticals, healthcare, GxP, or validated systems.</li>
<li>Experience building reusable frameworks, accelerators, engineering standards, and platform capabilities.</li>
<li>Mentoring and technical capability-building experience.</li>
</ul>
Key Competencies
<ul>
<li>Strong critical thinking and the ability to bring clarity and structure to ambiguous situations.</li>
<li>Technical leadership through influence, credibility, constructive challenge, and hands-on problem-solving.</li>
<li>Excellent communication skills, including the ability to explain evidence, uncertainty, risks, trade-offs, and technical limitations to diverse stakeholders.</li>
<li>Strong ownership, sound judgment, and resilience when balancing business value, delivery speed, quality, security, compliance, cost, and maintainability.</li>
<li>Ability to collaborate effectively with multidisciplinary and global teams.</li>
</ul>
How to Apply
Interested candidates can apply with their updated resume.

Senior Forward Deployed Engineer – AI & Data Science

Senior Forward Deployed Engineer – AI & Data Science

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